CN115063528A - Floor planning method and related apparatus, equipment and storage medium - Google Patents

Abstract

The present application discloses a plane planning method and related devices, equipment and storage medium, wherein the plane planning method includes: acquiring a segmentation plane set on a reconstructed model of a target organ; and determining the segmentation of the reconstructed model based on the segmentation plane area. The above scheme can display the planning scheme intuitively and clearly.

Description

Floor planning method and related apparatus, equipment and storage medium

technical field

The present application relates to the field of computer vision technology, and in particular, to a plane planning method and related apparatuses, devices, and storage media.

Background technique

With the rapid development of electronic information technology, medical images such as CT (Computed Tomography, Computed Tomography) images, MR (Magnetic Resonance, Magnetic Resonance) images and other medical images have been widely used in preoperative planning, intraoperative guidance and many other scenarios.

However, in traditional preoperative planning and doctor-patient communication scenarios, doctors are generally required to describe the surgical planning scheme in combination with the above-mentioned medical images and pure language, which lacks intuitive experience for patients and their families. Further, in the face of complex organs, the traditional display method also puts forward higher requirements for the doctor's on-the-spot description. In view of this, how to display the planning scheme intuitively and clearly has become an urgent problem to be solved.

SUMMARY OF THE INVENTION

The present application provides a floor planning method and related apparatus, equipment and storage medium.

A first aspect of the present application provides a plane planning method, including: acquiring a segmentation plane set on a reconstruction model of a target organ; and determining a segmentation area of the reconstruction model based on the segmentation plane.

Therefore, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, it is possible to support the way of customizing the segmentation plane on the reconstructed model of the target organ. Determine the segmentation area so that the plan can be displayed directly and clearly.

Wherein, acquiring the segmentation plane set on the reconstructed model of the target organ includes: obtaining the segmentation plane in response to the selection instruction for each segmentation option; wherein, the target organ is segmented in the target manner to obtain different partial organs, Each segmentation option corresponds to different local organs, and the segmentation plane is located between the model regions of the different local organs in the reconstructed model.

Therefore, in response to the selection instruction for each segmentation option, the segmentation plane is obtained, and the target organ is segmented in the target way to obtain different partial organs, each segmentation option corresponds to different local organs, and the segmentation plane is located in different parts The local organs are between the model areas in the reconstructed model, so the segmentation plane can be directly set on the reconstructed model by selecting the segmentation option, which is beneficial to improve the convenience of setting the segmentation plane.

Wherein, when the target organ is the liver, the segmentation options include the left trilobe and the right trilobe, or the segmentation options include the left half liver and the right half liver.

Therefore, when the target organ is the liver, the segmentation options include left and right trilobes, or the segmentation options include left half liver and right half liver, so it can support segmentation in different target ways, which is beneficial to adapt to Different operating habits, expand the scope of application.

Wherein, determining the segmentation area of the reconstruction model based on the segmentation plane includes: determining the target area of the local organ corresponding to the selected segmentation option in the reconstruction model, and obtaining the relative position of the target area relative to the segmentation plane; The relative position and the segmentation plane are obtained to obtain the segmentation area.

Therefore, determine the target area of the local organ corresponding to the selected segmentation option in the reconstructed model, obtain the relative position of the target area relative to the segmentation plane, and obtain the segmentation area based on the relative position and segmentation plane. It is beneficial to improve the accuracy of determining the segmentation area.

Wherein, after the segmentation area of the reconstructed model is determined based on the segmentation plane, the method further includes: in response to the movement instruction for the segmentation plane, re-determining the segmentation area based on the moved segmentation plane; wherein the movement instruction includes At least one of a rotation command and a translation command.

Therefore, after the segmentation area is determined, in response to the movement instruction on the segmentation plane, the determined segmentation area is reconstructed based on the moved segmentation plane, and the movement instruction includes at least one of a rotation instruction and a translation instruction, so it can support After the segmentation area is determined, you can customize the moving segmentation plane, and automatically re-determine the segmentation area according to the moved segmentation plane, which is beneficial to improve the accuracy of the segmentation area, which in turn can improve the accuracy of the planning scheme.

Wherein, the segmentation plane is marked with a rotation button, and in response to the movement instruction on the segmentation plane, based on the moved segmentation plane, re-determining the segmentation area includes: in response to the triggering of the rotation button, determining the lower part of the segmentation plane Send a rotation command, and rotate the segmentation plane around the center line of the segmentation plane; based on the rotated segmentation plane, determine the new segmentation area of the reconstructed model.

Therefore, the segmentation plane is marked with a rotation button, and in response to the triggering of the rotation button, it is determined to issue a rotation instruction to the segmentation plane, and the segmentation plane is rotated around the center line of the segmentation plane, and based on the rotated segmentation plane, Determining the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be rotated, it is only necessary to trigger the rotation button, which is beneficial to improve the convenience of rotating the segmentation plane.

Wherein, the segmentation plane is marked with a translation button, and in response to the movement instruction on the segmentation plane, based on the moved segmentation plane, re-determining the segmentation area includes: in response to triggering the translation button, determining the lower part of the segmentation plane A translation command is issued, and the segmentation plane is translated along the normal line of the segmentation plane; based on the translated segmentation plane, a new segmentation area of the reconstructed model is determined.

Therefore, the segmentation plane is marked with a translation button, and in response to the triggering of the translation button, it is determined to issue a translation instruction to the segmentation plane, and the segmentation plane is translated along the normal of the segmentation plane, and based on the translated segmentation plane, Determining the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be translated, only need to trigger the translation button, which is beneficial to improve the convenience of translating the segmentation plane.

Wherein, after the segmentation area of the reconstructed model is determined based on the segmentation plane, the method further includes: on the reconstructed model, highlighting the segmentation area in a preset style.

Therefore, after the segmentation area is determined, on the reconstruction model, the segmentation area is highlighted in a preset style, which can further intuitively and clearly display the planning scheme, and in the case where the target organ contains lesions, it can also be evaluated by highlighting the target watershed. Postoperative outcomes of planning programs.

Wherein, after the segmentation area of the reconstructed model is determined based on the segmentation plane, the method further includes: acquiring and displaying statistical data related to the segmentation area; wherein the statistical data includes at least one of the following: the volume of the segmentation area, the reconstructed area The volume of the model area outside the segmented area in the model, and the volume ratio of the model area outside the segmented area in the reconstructed model.

Therefore, after the segmented region is determined, statistical data related to the segmented region is further acquired and displayed, and the statistical data includes at least one of the following: the volume of the segmented region, the volume of the model region outside the segmented region in the reconstructed model, The volume ratio of the model area outside the segmented area in the reconstructed model, so the planning scheme can be displayed not only from the image dimension, but also from the text dimension, which is conducive to further intuitive and clear display of the planning scheme.

A second aspect of the present application provides a plane planning device, comprising: a plane setting module and a region determining module, the plane setting module is used to obtain a segmentation plane set on a reconstructed model of a target organ; Segmentation plane, which determines the segmented area of the reconstructed model.

A third aspect of the present application provides an electronic device, including a memory, a human-computer interaction circuit, and a processor, wherein the memory and the human-computer interaction circuit are coupled to the processor, and the processor is configured to execute program instructions stored in the memory, so as to realize the above-mentioned first On the one hand the floorplanning method.

A fourth aspect of the present application provides a computer-readable storage medium on which program instructions are stored, and when the program instructions are executed by a processor, the floor planning method in the above-mentioned first aspect is implemented.

The above scheme, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, can support the way of customizing the segmentation plane on the reconstructed model of the target organ. , determine the segmentation area, so that the planning scheme can be displayed directly and clearly.

Description of drawings

1 is a schematic flowchart of an embodiment of a floor planning method of the present application;

2 is a schematic diagram of an embodiment of a reconstruction model;

3 is a schematic diagram of another embodiment of the reconstruction model;

4 is a schematic diagram of an embodiment of statistical data;

5 is a schematic diagram of yet another embodiment of a reconstruction model;

6 is a schematic diagram of yet another embodiment of a reconstruction model;

7 is a schematic diagram of a framework of an embodiment of a floor planning device of the present application;

8 is a schematic diagram of a framework of an embodiment of an electronic device of the present application;

FIG. 9 is a schematic diagram of a framework of an embodiment of a computer-readable storage medium of the present application.

Detailed ways

The solutions of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In the following description, for purposes of illustration and not limitation, specific details such as specific system structures, interfaces, techniques, etc. are set forth in order to provide a thorough understanding of the present application.

The terms "system" and "network" are often used interchangeably herein. The term "and/or" in this article is only an association relationship to describe the associated objects, indicating that there can be three kinds of relationships, for example, A and/or B, it can mean that A exists alone, A and B exist at the same time, and A and B exist independently B these three cases. In addition, the character "/" in this document generally indicates that the related objects are an "or" relationship. Also, "multiple" herein means two or more than two.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of an embodiment of a floor planning method of the present application.

Specifically, the following steps can be included:

Step S11: Obtain the segmentation plane set on the reconstructed model of the target organ.

In an implementation scenario, the target organ can be set according to the actual application scenario. In addition, in addition to organ parenchyma, the target organ may also include, but is not limited to, vascular tissue, lesions, etc., which are not limited herein. For example, in the case where surgical planning of the liver is required, the target organ may be the liver, in this case, the vascular tissue may include but not limited to: hepatic vein, portal vein, etc., which are not limited here; or, for example, in In the case where lung surgery needs to be planned, the target organ may be the lung, and in this case, the vascular tissue may include but not limited to the trachea, etc., which is not limited herein. Other situations can be deduced by analogy, and no examples are given here.

In an implementation scenario, the reconstructed model of the target organ may be obtained by performing three-dimensional reconstruction based on a medical image (eg, CT image, MR image, etc.) of the target organ. Specifically, target segmentation can be performed on the medical image first to obtain the target area in the medical image. It should be noted that the target area may include, but is not limited to, the organ area of the target organ, the tissue area of the vascular tissue contained in the target organ, and the focus area of the lesion on the target organ. On this basis, three-dimensional reconstruction can be performed based on the target area in the medical image to obtain a reconstructed model. For the specific process of 3D reconstruction, please refer to the related technical details of 3D reconstruction, which will not be repeated here. In addition, in order to facilitate the differentiation of the organ parenchyma, vascular tissue and lesions of the target organ, different tissues can be marked in different styles in the reconstructed model. Please refer to FIG. 2 and FIG. 3 in conjunction. FIG. 2 is a schematic diagram of an embodiment of the reconstruction model, and FIG. 3 is a schematic diagram of another embodiment of the reconstruction model. As shown in Figure 2 or Figure 3, taking the target organ as the liver as an example, the liver parenchyma, hepatic veins, portal veins and lesions in the reconstructed model are represented in different grayscales to distinguish the liver parenchyma, hepatic veins, and portal veins in the reconstructed model. and lesions. Other situations can be deduced by analogy, and no examples are given here.

In an implementation scenario, in order to facilitate the setting of the segmentation plane, the segmentation plane can be obtained in response to the selection instruction for each segmentation option, and the target organ is segmented in the target manner to obtain different partial organs, and each segmentation option is divided into different parts. Corresponding to different local organs, and the segmentation plane is located between the model regions of the different local organs in the reconstructed model. In the above manner, the segmentation plane can be directly set on the reconstructed model by selecting the segmentation option, which is beneficial to improve the convenience of setting the segmentation plane.

In a specific implementation scenario, still taking the target organ as the liver as an example, the segmentation options may include left and right trilobes. It should be noted that, for the specific meanings of the left and right trilobes, please refer to the medical definitions of the left and right trilobes, which will not be repeated here. Please refer to Fig. 2 in combination, two segmentation options "left trilobe" and "right trilobe" can be displayed on the display interface. You can click on any segmentation option, and the selected segmentation option can be highlighted on the display interface. As shown in Figure 3, if the segmentation option "Right Trilobe" is selected, the segmentation option "Right Trilobe" can be highlighted on the display interface through a dotted background. Of course, in the actual application process, other highlighting methods may also be used, for example, a check mark (eg, "√", etc.) may be marked on the selected segmentation option, which is not limited herein. In addition, as shown in Figure 2, when the segmentation options include left and right trilobes, the segmentation plane, that is, the rectangle depicted by the white bold line in Figure 2 (shown as a parallelogram in a two-dimensional perspective), Located between the left and right trilobes in the model region of the reconstructed model.

In a specific implementation scenario, still taking the target organ as the liver as an example, the segmentation options may include left half liver and right half liver. It should be noted that, for the specific meanings of the left hemi-liver and the right hemi-liver, you can refer to the medical definitions of the left hemi-liver and the right hemi-liver, which will not be repeated here. Please refer to Figure 3 in combination, two segmentation options "left half liver" and "right half liver" can be displayed on the display interface. You can click on any segmentation option and highlight the selected segmentation option on the display interface. As shown in Figure 3, if the segmentation option "right half liver" is selected, the segmentation option "right half liver" can be highlighted on the display interface through a dotted background. Of course, in the actual application process, other highlighting methods may also be used, for example, a check mark (eg, "√", etc.) may be marked on the selected segmentation option, which is not limited herein. In addition, as shown in Fig. 3, in the case where the segmentation options include left hemi-liver and right hemi-liver, the segmentation plane is the parallelogram depicted by the bold white line in Fig. 3 (shown as a parallelogram in a two-dimensional perspective) , located between the left and right hemi-liver in the model region of the reconstructed model.

It should be noted that, Fig. 2 and Fig. 3 are only used as examples, and in the case where the target organ is the liver, there are two possible implementations of the segmentation option, and the use of other segmentation options is not limited, nor does it limit the use of other segmentation options. Implementation of the segmentation option when the target organ is limited to other organs. In addition, in the embodiment of the present disclosure, the shape of the slicing plane is also not limited. For example, the cutting plane may be a rectangle, a circle, a parallelogram, etc., which will not be exemplified here.

Step S12: Based on the segmentation plane, determine the segmentation area of the reconstructed model.

In an implementation scenario, as mentioned above, when obtaining the segmentation plane, the segmentation plane can be obtained by responding to the selection instruction of the segmentation option, and the segmentation plane is located in the model area of different local organs in the reconstructed model between. On this basis, the relative positions of the model regions in the reconstructed model of the local organs corresponding to the selected segmentation options with respect to the segmentation plane can be obtained, and the segmentation regions can be obtained based on the relative positions and the segmentation planes. The above method determines the target area of the local organ corresponding to the selected segmentation option in the reconstruction model, obtains the relative position of the target area relative to the segmentation plane, and obtains the segmentation area based on the relative position and the segmentation plane, which can It is beneficial to improve the accuracy of determining the segmentation area.

In a specific implementation scenario, the relative positions may include but are not limited to: left side, right side, upper side, lower side, etc., which may be specifically set according to the aforementioned target method for the target organ. For example, after the liver is segmented by the target segmentation method, and the segmentation options include the left half liver and the right half liver, or the segmentation options include the left trilobe and the right trilobe, the relative position can be determined as left or right Of course, if the target organ is segmented by the target segmentation method, and the segmentation options include the upper half organ and the lower half organ, the relative position can be determined as the upper side or the lower side. Other situations can be deduced by analogy, and no examples are given here.

In a specific implementation scenario, after determining the relative position of the local organ corresponding to the selected segmentation option in the model region in the reconstructed model relative to the segmentation plane, the relative position of the segmentation plane in the reconstructed model can be directly The model area on one side, as the segmentation area. Exemplarily, still taking the target organ as the liver as an example, if the selected segmentation option is the left hemi-liver, the relative position can be determined to be the left side, and the model area on the left side of the segmentation plane in the reconstructed model can be used as Segmentation area; or, if the selected segmentation option is left trilobe, the relative position can be determined to be the left side, and the model area located on the left side of the segmentation plane in the reconstructed model can be used as the segmentation area. Other situations can be deduced by analogy, and no examples are given here. It should be noted that, if the segmentation plane is determined by selecting the segmentation option above, the relative position may not change unless the segmentation option is changed subsequently. For example, after the segmentation plane is determined by selecting the segmentation option "left half liver", the relative position can remain as "left side" unless other segmentation options such as "right half liver" are selected subsequently; After selecting the segmentation option "Left Trilobe" to determine the segmentation plane, the relative position can always remain "Left" unless other segmentation options such as "Right Trilobe" are selected subsequently. Other situations can be deduced by analogy, and no examples are given here.

In an implementation scenario, in order to facilitate the observation of the segmented region, after the segmented region is determined, the segmented region may be highlighted in a preset style on the reconstructed model. The preset styles may include but are not limited to: line styles (eg, line thickness, line color, line type, etc.), fill styles (eg, fill color, fill transparency, fill background, etc.), which are not limited herein. Illustratively, the target watershed may be highlighted in the reconstructed model in red with a transparency of 50%. In addition, after the segmentation area is highlighted in a preset style, the relative positional relationship between the segmentation area and the lesion can be visually observed, such as whether the segmentation area contains a lesion, etc., which is not limited herein. As shown in Figure 2 and Figure 3, the area highlighted by the white curve represents the segmented area. In the above method, after the segmentation area is determined, on the reconstruction model, the segmentation area is highlighted in a preset style, which can further display the planning scheme intuitively and clearly. Assess the postoperative effect of the planning program.

In one implementation scenario, after the segmented region is determined, statistical data related to the segmented region may also be acquired and displayed, and the statistical data may include at least one of the following: volume of the segmented region, outside the segmented region in the reconstructed model The volume of the model area, and the volume ratio of the model area outside the segmented area in the reconstructed model. In the above method, after the segmentation area is determined, the statistical data related to the segmentation area is further acquired and displayed, and the statistical data includes at least one of the following: the volume of the segmentation area, the volume of the model area outside the segmentation area in the reconstructed model , the proportion of the model area outside the segmentation area in the reconstructed model, so it can not only display the planning scheme from the image dimension, but also display the planning scheme from the text dimension, which is conducive to further intuitive and clear display of the planning scheme.

In a specific implementation scenario, in addition to acquiring and displaying statistical data related to the segmentation region, statistical data related to the target organ can also be acquired and displayed, and the statistical data related to the target organ may include: the volume of the target organ . The functional volume of the target organ is not limited here.

In a specific implementation scenario, please refer to FIG. 4 , which is a schematic diagram of an embodiment of statistical data. Still taking the target organ as the liver as an example, as shown in FIG. 5 , TLV represents the overall volume of the target organ (ie, the whole liver volume), and FLV represents the functional volume of the target organ (ie, the functional liver volume). Among them, the whole liver volume is 1062.3 cubic centimeters, and the functional liver volume is 1038.9 cubic centimeters. The volume is 378.4 cubic centimeters, and the volume of the model area outside the segmented area in the reconstructed model is 648.6 cubic centimeters, and this part accounts for 68.7% of the volume in the reconstructed model; After the target mode (ie, mode 2 in Figure 4), the volume of the segmented area is 467.9 cubic centimeters, and the volume of the model area outside the segmented area in the reconstructed model is 669.2 cubic centimeters. The volume of this part in the reconstructed model is 669.2 cubic centimeters. The proportion is 64.5%. It can be seen that by obtaining and displaying statistical data, the feasibility of the planning scheme can be verified through digital indicators, which greatly improves the work efficiency and the accuracy of evaluating the planning scheme.

In an implementation scenario, as described above, the target organ may contain lesions, and after the segmentation region is determined, a prompt message may be output in response to the segmentation region not completely including the model region of the lesion in the reconstructed model. The prompt message may include, but is not limited to, pictures, text, audio, etc., which are not limited herein. For example, after the segmentation area is determined, if the segmentation area does not completely contain the model area of the lesion in the reconstructed model, a prompt message may be output in text on the display interface, for example, a prompt message "the lesion is not completely contained" may be output. In the above method, if the target organ contains a lesion, after the segmentation area is determined, a prompt message is output in response to the segmentation area not completely including the lesion area in the reconstructed model, which can be prompted when the planning scheme is obviously lacking. Conducive to improving the interactive experience.

In an implementation scenario, after the segmentation plane is determined by means such as the foregoing segmentation options, and the segmentation region of the reconstructed model is determined based on the segmentation plane, the segmentation plane can also be customized and adjusted, and the segmentation region can be automatically updated. Specifically, the segmentation area may be re-determined based on the moved segmentation plane in response to a movement instruction for the segmentation plane, and the movement instruction includes at least one of a rotation instruction and a translation instruction. The above method can support the user-defined movement of the segmentation plane after the segmentation area is determined, and automatically re-determine the segmentation area according to the moved segmentation plane, which is beneficial to improve the accuracy of the segmentation area, thereby improving the planning scheme. precision.

In a specific implementation scenario, the splitting plane can be marked with a rotary button. Please refer to Figure 2 or Figure 3 in conjunction with Figure 2 or Figure 3. Taking the splitting plane as a rectangle as an example, the rotary button can be set on two adjacent sides of the rectangle. It can be set in other positions, which is not limited here. On this basis, in response to the triggering of the rotation button, it is possible to determine to issue a rotation command to the segmentation plane, rotate the segmentation plane around the center line of the segmentation plane, and determine a new reconstruction model based on the rotated segmentation plane. segmentation area. Specifically, the number of times the spin button is triggered is related to the rotation angle of the split plane. For example, every time the spin button is triggered, the split plane can be rotated around its center line by a preset angle (for example, 1 degree, 5 degrees, 10 degrees, etc.); or, if the spin button is triggered, it only means that the split plane can be rotated around its center line under operation, and the specific rotation angle has nothing to do with the number of times the spin button is triggered. You can select the split plane and drag it. , so that the sliced surface rotates around its center line, and the specific method is not limited here. Please refer to FIG. 5 , which is a schematic diagram of another embodiment of the reconstruction model. As shown in Figure 5, when the rotation button on the right side of the split plane is triggered, the display interface can display a selection prompt (white hand mark in Figure 5) near the rotation button to indicate the rotation The button has been selected. At this time, as mentioned above, you can click the rotation button continuously or drag the cutting plane to any position left and right to make the cutting plane revolve around the center line parallel to the right side (that is, the white color in Figure 5). Line and dotted line) rotate, and at the same time of rotation, update the segmentation area synchronously. Of course, you can also trigger the rotation button on the lower side to rotate the rotation plane around the center line parallel to the lower side, and update the split area synchronously. In the case that the slicing plane is in other shapes, the same can be deduced, and examples will not be given here. It should be noted that, as mentioned above, the segmentation plane is determined by selecting the segmentation option, and the relative position will not change unless the segmentation option is changed subsequently, that is, the segmentation area is re-determined at this time. , as long as the segmentation options have not changed, the new segmentation area can still be determined based on the previously obtained relative position and the rotated segmentation plane, that is, the model located on the relative position of the rotated segmentation plane can be directly area, as a new segmentation area. For example, when the relative position obtained before is the right side, the model area located on the right side of the rotated segmentation plane can be directly used as the new segmentation area. In the case where the relative position is another position, the analogy can be made in the same way, and the examples will not be given one by one here. In the above-mentioned manner, the segmentation plane is marked with a rotation button, and in response to the triggering of the rotation button, it is determined that a rotation instruction is issued to the segmentation plane, and the segmentation plane is rotated around the center line of the segmentation plane, and based on the rotated segmentation plane , to determine the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be rotated, it is only necessary to trigger the rotation button, which is beneficial to improve the convenience of rotating the segmentation plane.

In a specific implementation scenario, the segmentation plane can be marked with a translation button. Please refer to FIG. 2 or FIG. 3 in combination. Taking the segmentation plane as a rectangle as an example, the translation button can be set on the lower side of the rectangle. Of course, it can also be set Other locations are not limited here. On this basis, in response to the triggering of the translation button, it is possible to determine to issue a translation command to the segmentation plane, and to translate the segmentation plane along the normal of the segmentation plane, and based on the translated segmentation plane, determine the new reconstruction model segmentation area. Specifically, the number of times the pan button is triggered is related to the distance that the split plane is translated. For example, every time the spin button is triggered, the split plane can be translated a preset distance along its normal (for example, 1mm, 5mm, 10mm mm, etc.); or, if the pan button is triggered, it only means that the segmentation plane can be translated along its normal line under the operation, and the specific translation distance has nothing to do with the number of times the translation button is triggered. You can select the segmentation plane and drag it. , so that the sliced surface is translated along its normal line, and the specific method is not limited here. Please refer to FIG. 6 , which is a schematic diagram of another embodiment of the reconstruction model. As shown in Figure 6, when the pan button located on the lower side of the split plane is triggered, the display interface can display a selection prompt (white hand mark in Figure 6) near the pan button to indicate the pan button The button has been selected. At this time, as mentioned above, the segmentation plane can be translated along its normal (that is, the white dotted line in Figure 6) by continuously clicking the translation button or dragging left and right to any position of the segmentation plane. And while panning, the segmentation area is updated synchronously. It should be noted that, as mentioned above, the segmentation plane is determined by selecting the segmentation option, and the relative position will not change unless the segmentation option is changed subsequently, that is, the segmentation area is re-determined at this time. , as long as the segmentation options have not changed, a new segmentation area can still be determined based on the previously obtained relative position and the translated segmentation plane, that is, the model located on the side of the relative position of the translated segmentation plane can be directly area, as a new segmentation area. For example, when the relative position obtained before is the right side, the model area located on the right side of the translated segmentation plane can be directly used as the new segmentation area. In the case where the relative position is another position, the analogy can be made in the same way, and the examples will not be given one by one here. In the above-mentioned manner, the segmentation plane is marked with a translation button, and in response to the triggering of the translation button, it is determined to issue a translation instruction to the segmentation plane, and the segmentation plane is translated along the normal of the segmentation plane, and the segmentation plane based on the translation , to determine the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be translated, it is only necessary to trigger the translation button, which is beneficial to improve the convenience of translating the segmentation plane.

In a specific implementation scenario, after the segmentation area is re-determined, steps such as the foregoing steps of highlighting the segmentation area in a preset style may be performed synchronously, and/or the foregoing step of acquiring and displaying statistical data related to the segmentation area may be performed synchronously. step, and/or, synchronously executing the aforementioned step of outputting a prompt message in response to the segmentation area not completely containing the model area of the lesion in the reconstructed model, so that after adjusting the segmentation plane, the segmentation area, statistical data, etc. can be updated synchronously and so on, which can help to improve the interactive experience.

In an implementation scenario, as mentioned above, a reconstruction model representing the real data of the target organ is presented by using 3D digital reconstruction technology, and by setting a segmentation plane in the reconstructed model, the resection process and the related segmentation area can be quickly simulated. Statistical data (such as remnant liver volume, proportion, etc.), and the feasibility of the planning scheme can be analyzed by checking the situation of the vessels involved in the resection, so as to assist in meeting the requirements of refined excision simulation and verifying the feasibility of the planning scheme and its security.

The above scheme, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, can support the way of customizing the segmentation plane on the reconstructed model of the target organ. , determine the segmentation area, so that the planning scheme can be displayed directly and clearly.

Please refer to FIG. 7 . FIG. 7 is a schematic diagram of a framework of an embodiment of a floor planning apparatus 70 of the present application. The plane planning device 70 includes: a plane setting module 71 and a region determining module 72. The plane setting module 71 is used to obtain the segmentation plane set on the reconstructed model of the target organ; the region determination module 72 is used to determine the segmentation plane based on the segmentation plane. Reconstruct the segmented region of the model.

The above scheme, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, can support the way of customizing the segmentation plane on the reconstructed model of the target organ. , determine the segmentation area, so that the planning scheme can be displayed directly and clearly.

In some disclosed embodiments, the plane setting module 71 is specifically configured to obtain a segmentation plane in response to a selection instruction for each segmentation option; wherein, after the target organ is segmented in a target manner, different partial organs are obtained, and each segmentation option They correspond to different local organs respectively, and the segmentation plane is located between the model regions of the different local organs in the reconstructed model.

Therefore, in response to the selection instruction for each segmentation option, the segmentation plane is obtained, and the target organ is segmented in the target way to obtain different partial organs, each segmentation option corresponds to different local organs, and the segmentation plane is located in different parts The local organs are between the model areas in the reconstructed model, so the segmentation plane can be directly set on the reconstructed model by selecting the segmentation option, which is beneficial to improve the convenience of setting the segmentation plane.

In some disclosed embodiments, where the target organ is the liver, the segmentation options include left and right trilobes, or the segmentation options include left and right hemi-liver.

Therefore, when the target organ is the liver, the segmentation options include left and right trilobes, or the segmentation options include left half liver and right half liver, so it can support segmentation in different target ways, which is beneficial to adapt to Different operating habits, expand the scope of application.

In some disclosed embodiments, the region determination module 72 includes a position acquisition sub-module for determining the target region of the local organ corresponding to the selected segmentation option in the reconstructed model, and acquiring the relative position of the target region relative to the segmentation plane ; The region determination module 72 includes a region determination sub-module for obtaining the segmented region based on the relative position and the segmented plane.

Therefore, determine the target area of the local organ corresponding to the selected segmentation option in the reconstructed model, obtain the relative position of the target area relative to the segmentation plane, and obtain the segmentation area based on the relative position and segmentation plane. It is beneficial to improve the accuracy of determining the segmentation area.

In some disclosed embodiments, the plane planning apparatus 70 further includes a plane movement module, configured to re-determine the segmentation area based on the moved segmentation plane in response to the movement instruction for the segmentation plane; wherein the movement instruction includes a rotation instruction , at least one of translation commands.

Therefore, after the segmentation area is determined, in response to the movement instruction on the segmentation plane, the determined segmentation area is reconstructed based on the moved segmentation plane, and the movement instruction includes at least one of a rotation instruction and a translation instruction, so it can support After the segmentation area is determined, you can customize the moving segmentation plane, and automatically re-determine the segmentation area according to the moved segmentation plane, which is beneficial to improve the accuracy of the segmentation area, which in turn can improve the accuracy of the planning scheme.

In some disclosed embodiments, the slicing plane is marked with a rotation button, and the plane moving module includes a plane rotation sub-module, which is configured to, in response to triggering the rotation button, determine to issue a rotation instruction to the slicing plane, and rotate around the slicing plane. The centerline rotates the segmentation plane; the plane movement module includes a first determination sub-module for determining a new segmentation area of the reconstructed model based on the rotated segmentation plane.

Therefore, the segmentation plane is marked with a rotation button, and in response to the triggering of the rotation button, it is determined to issue a rotation instruction to the segmentation plane, and the segmentation plane is rotated around the center line of the segmentation plane, and based on the rotated segmentation plane, Determining the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be rotated, it is only necessary to trigger the rotation button, which is beneficial to improve the convenience of rotating the segmentation plane.

In some disclosed embodiments, the slicing plane is marked with a translation button, and the plane moving module includes a plane translation sub-module, configured to, in response to triggering the translation button, determine to issue a translation instruction to the slicing plane, and execute a translation instruction along the slicing plane. The normal line translates the segmentation plane; the plane movement module includes a second determination sub-module for determining a new segmentation area of the reconstructed model based on the translated segmentation plane.

Therefore, the segmentation plane is marked with a translation button, and in response to the triggering of the translation button, it is determined to issue a translation instruction to the segmentation plane, and the segmentation plane is translated along the normal of the segmentation plane, and based on the translated segmentation plane, Determining the new segmentation area of the reconstructed model, that is, when the segmentation plane needs to be translated, only need to trigger the translation button, which is beneficial to improve the convenience of translating the segmentation plane.

In some disclosed embodiments, the floor planning apparatus 70 further includes a region highlighting module for highlighting the segmented regions in a preset style on the reconstructed model.

Therefore, after the segmentation area is determined, on the reconstruction model, the segmentation area is highlighted in a preset style, which can further intuitively and clearly display the planning scheme, and in the case where the target organ contains lesions, it can also be evaluated by highlighting the target watershed. Postoperative outcomes of planning programs.

In some disclosed embodiments, the floor planning apparatus 70 further includes a data statistics module for acquiring and displaying statistical data related to the segmented area; wherein the statistical data includes at least one of the following: the volume of the segmented area, the The volume of the model area outside the segmented area, and the volume ratio of the model area outside the segmented area in the reconstructed model.

Therefore, after the segmented region is determined, statistical data related to the segmented region is further acquired and displayed, and the statistical data includes at least one of the following: the volume of the segmented region, the volume of the model region outside the segmented region in the reconstructed model, The volume ratio of the model area outside the segmented area in the reconstructed model, so the planning scheme can be displayed not only from the image dimension, but also from the text dimension, which is conducive to further intuitive and clear display of the planning scheme.

Please refer to FIG. 8 , which is a schematic diagram of a framework of an embodiment of an electronic device 80 of the present application. The electronic device 80 includes a memory 81, a human-computer interaction circuit 82, and a processor 83. The memory 81 and the human-computer interaction circuit 82 are coupled to the processor 83, and the processor 83 is configured to execute program instructions stored in the memory 81 to achieve any of the above. The steps of a floorplanning method embodiment. In a specific implementation scenario, the electronic device 80 may include, but is not limited to, a microcomputer and a server. In addition, the electronic device 80 may also include mobile devices such as smart phones, tablet computers, and smart glasses, which are not limited herein.

Specifically, the processor 83 is used to control itself and the memory 81 to implement the steps of any one of the above-mentioned floor planning method embodiments. The processor 83 may also be referred to as a CPU (Central Processing Unit, central processing unit). The processor 83 may be an integrated circuit chip with signal processing capability. The processor 83 may also be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other Programming logic devices, discrete gate or transistor logic devices, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 83 may be jointly implemented by an integrated circuit chip.

The above scheme, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, can support the way of customizing the segmentation plane on the reconstructed model of the target organ. , determine the segmentation area, so that the planning scheme can be displayed directly and clearly.

Please refer to FIG. 9 , which is a schematic diagram of a framework of an embodiment of a computer-readable storage medium 90 of the present application. The computer-readable storage medium 90 stores program instructions 901 that can be executed by the processor, and the program instructions 901 are used to implement the steps of any of the above-mentioned floor planning method embodiments.

The above scheme, by obtaining the segmentation plane set on the reconstructed model of the target organ, and determining the segmentation area of the reconstructed model based on the segmentation plane, can support the way of customizing the segmentation plane on the reconstructed model of the target organ. , determine the segmentation area, so that the planning scheme can be displayed directly and clearly.

In the several embodiments provided in this application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the device implementations described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other divisions. For example, units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms.

Units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed over network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this implementation manner.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

If the technical solution of this application involves personal information, the product applying the technical solution of this application has clearly informed the personal information processing rules and obtained the individual's voluntary consent before processing personal information. If the technical solution of the present application involves sensitive personal information, the product applying the technical solution of the present application has obtained the individual's individual consent before processing sensitive personal information, and at the same time satisfies the requirement of "express consent". For example, at the personal information collection device such as a camera, a clear and conspicuous sign is set to inform that the personal information has entered the collection range, and the personal information will be collected. If the individual voluntarily enters the collection range, it is deemed to agree to the collection of their personal information; or On the personal information processing device, if the personal information processing rules are informed by obvious signs/information, the personal authorization can be obtained by means of pop-up information or asking individuals to upload their personal information; among them, the personal information processing rules may include personal information Information processor, purpose of processing personal information, method of processing, and types of personal information processed.

Claims (12)

1. A method of floor planning, comprising:

acquiring a segmentation plane arranged on a reconstruction model of a target organ;

and determining a segmentation region of the reconstruction model based on the segmentation plane.

2. The method of claim 1, wherein the obtaining a segmentation plane disposed on a reconstructed model of a target organ comprises:

responding to a selection instruction of each segmentation option to obtain the segmentation plane;

the target organ is segmented in a target mode to obtain different local organs, each segmentation option corresponds to the different local organs respectively, and the segmentation plane is located between model areas of the different local organs in the reconstruction model.

3. The method of claim 2, wherein in the case where the target organ is a liver, the segmentation option comprises a left trefoil and a right trefoil, or the segmentation option comprises a left half liver and a right half liver.

4. The method of claim 2, wherein determining the segmentation region of the reconstructed model based on the segmentation plane comprises:

determining a target region of a local organ corresponding to the selected segmentation option in the reconstruction model, and acquiring the relative position of the target region relative to the segmentation plane;

and obtaining the segmentation area based on the relative position and the segmentation plane.

5. The method according to any of claims 1 to 4, wherein after said determining a segmentation region of said reconstructed model based on said segmentation plane, said method further comprises:

responding to a moving instruction of the segmentation plane, and re-determining the segmentation area based on the moved segmentation plane;

wherein the movement instruction comprises at least one of a rotation instruction and a translation instruction.

6. The method of claim 5, wherein the slicing plane is marked with a rotation button, and the re-determining the slicing area based on the shifted slicing plane in response to the command for shifting the slicing plane comprises:

responding to the trigger of the rotating button, determining to issue the rotating instruction to the segmentation plane, and rotating the segmentation plane around the center line of the segmentation plane;

and determining a new segmentation region of the reconstruction model based on the rotated segmentation plane.

7. The method according to claim 5, wherein the slicing plane is marked with a shift button, and the re-determining the slicing area based on the shifted slicing plane in response to the shift instruction for the slicing plane comprises:

responding to the trigger of the translation button, determining to issue the translation instruction to the segmentation plane, and translating the segmentation plane along the normal of the segmentation plane;

and determining a new segmentation region of the reconstruction model based on the translated segmentation plane.

8. The method according to any of the claims 1 to 7, characterized in that after said determining a segmentation region of said reconstructed model based on said segmentation plane, said method further comprises:

and highlighting the segmentation region in a preset mode on the reconstruction model.

9. The method according to any of claims 1 to 8, wherein after said determining a segmentation region of said reconstructed model based on said segmentation plane, said method further comprises:

acquiring and displaying statistical data related to the segmentation region;

wherein the statistical data comprises at least one of: the volume of the segmentation region, the volume of the model region outside the segmentation region in the reconstruction model, and the volume of the model region outside the segmentation region in the reconstruction model account for the ratio.

10. A floor planning apparatus, comprising:

the plane setting module is used for acquiring a segmentation plane set on the reconstruction model of the target organ;

and the region determining module is used for determining the segmentation region of the reconstruction model based on the segmentation plane.

11. An electronic device comprising a memory, human-computer interaction circuitry, and a processor, the memory and the human-computer interaction circuitry coupled to the processor, the processor configured to execute program instructions stored in the memory to implement the floor planning method of any of claims 1-9.

12. A computer readable storage medium having stored thereon program instructions which, when executed by a processor, implement the floor planning method of any of claims 1 to 9.

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