CN114732366B - Device and electronic device for determining ventricular septum deviation parameters - Google Patents
Device and electronic device for determining ventricular septum deviation parameters Download PDFInfo
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Abstract
The invention discloses a device and electronic equipment for determining an inter-chamber offset parameter, relates to the technical field of medical image processing, and aims to solve the problems of health damage caused by an invasive detection mode on a patient and high requirement on experience level of doctors when pulmonary artery pressure is evaluated. The device comprises an acquisition module, a processing module and a determining module, wherein the acquisition module is used for acquiring a biological heart image, the processing module is used for determining geometric parameters of at least one ventricle based on the biological heart part image, and the determining module is used for determining actual offset parameters of a ventricular interval based on the geometric parameters of at least one ventricle. The readable storage medium and the electronic device for ventricular offset parameters comprise the technical proposal. The invention provides a device for determining ventricular offset parameters, which is used for measuring biological pulmonary arterial pressure.
Description
Technical Field
The present invention relates to the field of medical technologies, and in particular, to a device and an electronic device for determining an inter-chamber offset parameter.
Background
Pulmonary arterial hypertension (pulmonary arterial hypertension, abbreviated PAH) is a severe clinical symptom characterized by increased pulmonary vascular resistance and vascular remodeling that can lead to right heart failure. Right ventricular dysfunction predicts pulmonary arterial hypertension severity, motor capacity and survival time, even with more rapid clinical exacerbation of pulmonary hypertension in right ventricular dysfunction patients.
Currently, invasive ductal measurements are performed on the right heart, primarily in an invasive manner, to obtain pulmonary artery mean pressure, to diagnose pulmonary arterial hypertension using the pulmonary artery mean pressure. However, the method of invasive measurement and diagnosis of living body requires the health condition of living body and the experience level of doctor, and is also liable to cause health damage to patient.
Disclosure of Invention
The invention aims to provide a device for determining an inter-chamber offset parameter, a readable storage medium and electronic equipment, which are used for determining the inter-chamber offset parameter in a noninvasive manner so as to determine pulmonary artery pressure and avoid health damage to organisms such as human bodies.
In a first aspect, the present invention provides a device for determining a chamber-spacing offset parameter, comprising:
The acquisition module is used for acquiring a biological heart image;
A processing module for determining a geometric parameter of at least one ventricle based on the biological heart image;
a determination module for determining an actual ventricular interval offset parameter based on geometric parameters of at least one of the ventricles.
Compared with the prior art, in the device for determining the ventricular septum offset parameter, the processing module can determine the geometric parameter of at least one ventricle based on the biological heart image, and the geometric parameter of the ventricle can indirectly reflect the shape of the ventricle, so that the determining module can be used for determining the actual ventricular septum offset parameter based on the geometric parameter of at least one ventricle, thereby determining the actual ventricular septum offset parameter in a noninvasive mode. On the basis, the correlation between the offset parameter of the ventricular septum and the pulmonary artery pressure can be utilized to obtain the pulmonary artery pressure corresponding to the actual offset parameter. Therefore, the invention can indirectly determine the pulmonary artery pressure on the basis of noninvasively determining the ventricular septum deviation parameter, thereby avoiding the health damage to organisms such as human bodies.
In a second aspect, the present invention also provides an electronic device, including:
processor, and
A memory in which a program is stored,
Wherein the program comprises instructions which, when executed by the processor, cause the processor to perform a method of determining the inter-chamber offset parameter, the method comprising:
obtaining a biological heart image;
determining a geometric parameter of at least one ventricle based on the biological heart site image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
Compared with the prior art, the beneficial effects of the electronic equipment provided by the invention are the same as those of the device for determining the room interval offset parameter in the technical scheme, and the description is omitted here.
The present invention also provides a computer-readable storage medium storing computer instructions for causing the computer to perform a method of determining the inter-chamber offset parameter, the method comprising:
obtaining a biological heart image;
determining a geometric parameter of at least one ventricle based on the biological heart site image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the invention are the same as those of the device for determining the room interval offset parameter in the technical scheme, and the description is omitted here.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a block diagram showing a configuration of a device for determining a chamber interval offset parameter in an exemplary embodiment of the present invention;
FIG. 2 is a view of cardiac axis images obtained from a scan of a magnetic resonance cine sequence of 4 groups of clinical trials at different courses of disease in an exemplary embodiment of the present invention;
FIG. 3 is a graph of modeling the inter-chamber space of a clinical trial in an exemplary embodiment of the invention;
FIG. 4 is a graph of the relationship between SSI, VMI and MPA and mPAP in an exemplary embodiment of the present invention;
FIG. 5 is a graph of a Bland-Altman analysis of an exemplary embodiment of the present invention;
FIG. 6 is a graph of a subject's operating characteristics curve (ROC) for predicting pulmonary arterial hypertension PH (mPAP. Gtoreq.25 mm Hg);
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. The meaning of "a number" is one or more than one unless specifically defined otherwise.
In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "front", "rear", "left", "right", etc., are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically connected, electrically connected, directly connected, indirectly connected via an intervening medium, or in communication between two elements or in an interaction relationship between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
At present, pulmonary arterial hypertension (pulmonary arterial hypertension, PAH) is a serious clinical symptom, is characterized by increased pulmonary vascular resistance and vascular remodeling, and causes right heart failure, the diagnosis of pulmonary arterial hypertension is mainly carried out by invasive measurement, pulmonary arterial average pressure is directly measured through a right heart catheter, the pulmonary arterial average pressure of a normal person is 18-25 mmHg, and if the pulmonary arterial average pressure of a patient is greater than or equal to 25 mmHg, the accurate diagnosis of pulmonary arterial hypertension can be obtained. Invasive measurement and diagnosis by means of a right heart catheter is a certain damage to the health of organisms such as human bodies, and even has high requirements on experience and level of diagnosticians.
Based on the above-described problems, exemplary embodiments of the present invention provide a determining apparatus, an electronic device, and a computer-readable storage medium for determining a ventricular septum deviation parameter in a non-invasive manner, thereby determining a pulmonary artery pressure and avoiding health damage to living bodies such as human bodies.
In practical application, the device for determining the room interval offset parameter can obtain the room interval parameter in a non-invasive manner. On this basis, the pulmonary artery pressure of the patient can be utilized according to the relationship between the ventricular septum parameter and the pulmonary artery pressure.
Fig. 1 shows a block diagram of a determining apparatus of a room-interval offset parameter according to an exemplary embodiment of the present invention. As shown in FIG. 1, the device for determining the room-interval offset parameter according to the exemplary embodiment of the invention comprises an acquisition module, a processing module and a determination module.
The acquisition module may obtain a biological heart image. The biological heart image may be a two-dimensional image of the biological heart image, or may be a three-dimensional image, a four-dimensional image, or other various medical images. The biological heart image may be, but not limited to, a heart ultrasound image, a heart magnetic resonance cine sequence image, a CT angiography image, or the like, in terms of image acquisition.
The biological heart image may include one biological heart image or a plurality of biological heart images. When the biological heart image comprises a plurality of biological heart images, the plurality of biological heart images may be ordered in a cine-serialization manner. Meanwhile, each biological heart image may be constituted by a plurality of differently sized heart section images.
For example, when a magnetic resonance imaging device is used to acquire an image of the heart of a human body, the magnetic resonance imaging device may place the human body in a strong magnetic field of a magnetic resonance machine, and excite hydrogen nuclei in cells of the examined tissue with radio frequency pulses to cause the resonance of the hydrogen nuclei to change, thereby obtaining a complete image of a part of the organ of the human body.
For example, a human heart may include a left ventricle, a left atrium, a right ventricle, and a right atrium, with four chambers, the left atrium and the left ventricle communicating with each other, the right atrium and the right ventricle communicating with each other, and the left atrium and the right atrium separated by a room space between the two chambers, and the left ventricle and the right ventricle separated by a room space between the two chambers. The left ventricle is responsible for injecting blood into the aorta and into the systemic circulation, and the right ventricle is responsible for injecting blood into the pulmonary artery and into the pulmonary circulation. For the ventricles of the biological heart, it may comprise two operating states that alternate, adjacent two operating states may be defined as one operating cycle. The two operating states within each operating cycle may include diastole and systole. The systolic phase of the heart when the heart contracts and the diastolic phase of the heart when the heart relaxes.
On the basis, a magnetic resonance imaging device can be used for acquiring cardiac magnetic resonance film sequence images, the long axis and the short axis of the two cavities of the heart are selected based on sequence scanning by taking the heart axis as the center, and film images of each section of the long axis and the short axis are obtained, so that a plurality of cardiac section images at a plurality of continuous time points in one cardiac cycle are formed. Each comprises a plurality of slice images formed by layer-by-layer code scanning and capable of accurately evaluating the heart structure.
Contrast data is apparent for one ventricle considering that end-ventricular imaging is sensitive during systole and diastole of the ventricle. Based on this, the biological heart image of an embodiment of the present invention may include at least one end-of-operating-state biological heart image,
When the biological heart image includes a biological heart image at the end of a plurality of operating states, the plurality of operating states may be of the same type or of different types.
When the plurality of operating states may be of the same type, the operating states may be images of the biological heart at the end of systole. For example, three end diastole biological heart images, which may be considered to be end diastole biological heart images contained in three consecutive heart cycles. Of course, it is also possible to regularly or irregularly select end diastole biological heart images from a number of heart work cycles.
When the plurality of operating states may be of different types, the operating states may be images of the biological heart at the end diastole and the end diastole, for example, images of the biological heart at the end diastole and images of the biological heart at the end systole of the same heart cycle. Of course, it is also possible to regularly or irregularly select the systolic and diastolic end-stage biological heart images from a number of heart work cycles. At this time, thereby ensuring that the determined offset parameter of the interval between the left ventricle and the right ventricle is accurate
The processing module may be configured to determine a geometric parameter of at least one ventricle based on the biological heart image. The geometric parameters of the ventricles can be the geometric parameters of one ventricle or the geometric parameters of a plurality of ventricles, and can be selected according to actual conditions.
When the biological heart image is a biological heart image, the geometric parameter of the at least one ventricle may be determined based on the biological heart image. For example, for a human heart, the geometric parameters of one ventricle may be the geometric parameters of the left ventricle or the geometric parameters of the right ventricle, and the geometric parameters of two ventricles may be the geometric parameters of the left ventricle and the geometric parameters of the right ventricle.
When the biological heart image is a plurality of biological heart images, the geometric parameters of one ventricle may be determined based on each biological heart image, and thus, the geometric parameters of a plurality of ventricles may be determined based on a plurality of biological heart images. The geometric parameters of the ventricles may be the geometric parameters of the same ventricle or the geometric parameters of different ventricles. For example, for a human heart, if the geometric parameters of the plurality of ventricles are the geometric parameters of the same ventricle, may be the geometric parameters of the plurality of left ventricles or the geometric parameters of the right ventricle, and if the geometric parameters of the plurality of ventricles are the geometric parameters of two different types of ventricles, determining the geometric parameters of one left ventricle and the geometric parameters of one right ventricle from two biological heart images respectively may be included.
For example, at least one ventricular image may be separated from the biological cardiac image by image segmentation. At the same time, when separating the ventricular images, geometric parameters of at least one ventricle may also be generated, which may include a maximum tangent perimeter, a maximum tangent area, or a ventricular volume of the ventricle. The image segmentation may be performed by automatically segmenting at least one ventricular image from the biological heart image using an image segmentation algorithm, or by manually segmenting at least one ventricular image from the biological heart image,
In one example, when an image segmentation algorithm is employed to automatically segment at least one ventricular image from a biological heart image, the biological heart image may be processed using a trained image segmentation model. The image segmentation model can be the existing image segmentation model such as a full convolution neural network, U-Net and the like, and can also be the traditional image segmentation algorithm such as threshold segmentation, edge segmentation and wavelet transformation segmentation.
For example, if the fully-convolutional neural network after training can segment the left ventricle from the human heart images and generate geometric parameters of the left ventricle and the right ventricle, a large number of human heart images can be selected during the training phase, and each human heart image is marked with a left ventricle contour and various geometric parameters of the left ventricle, such as a maximum tangent plane perimeter, a maximum tangent plane area or a ventricular volume, to form the training label. And inputting a plurality of marked human heart images into a full convolution neural network in batches, carrying out convolution on the marked human heart images for a plurality of times by the full convolution neural network, thereby realizing pixel-level classification, and then recovering the resolution of the image subjected to pixel classification to the original resolution by using modes such as pooling, deconvolution and the like to obtain a prediction result. And then determining loss based on the training labels and the prediction results, and if the loss is larger than the preset loss, updating network parameters, such as weight and offset, of the full convolutional neural network by adopting a reverse conduction algorithm. If the loss is less than or equal to the preset loss, the full convolution neural network training is finished, and the test can be performed.
On this basis, the human heart image can be input into a trained full convolutional neural network to output left ventricle images and geometric parameters of the left ventricle.
In one example, when at least one ventricular image is segmented from a biological heart image using manual image segmentation, a processing module is configured to generate at least one ventricular region image and geometric parameters in response to an operation for a central ventricular region of the biological heart site image.
In practical applications, the operation for the biological heart site image central chamber region is an outline operation for the biological heart site image central chamber region. For example, an experienced physician may click, contour, etc. on a computer software interactive interface to select the contours of the ventricular region. Upon selection of the contour line of the central chamber region, computer software may automatically generate geometric parameters of the ventricle based on the contour line of the ventricle region.
The determining module is configured to determine an actual deviation parameter of the ventricular septum based on the geometric parameter of the at least one ventricle, where the deviation parameter of the ventricular septum may be a parameter that accurately determines a degree of deviation of the septum between the left and right ventricles to the left ventricle. The chamber interval offset parameter may include a diaphragm oscillation index (septum swing index, SSI).
The biological heart image may include at least one biological heart image at the end of the operational state, and the actual deflection parameter may be an actual deflection parameter determined by a diaphragm oscillation index (septum swing index, SSI) of the biological heart at the end of the at least one operational state.
Taking a human heart as an example, two working states of the heart include diastole and systole of the biological heart, so that the diaphragm oscillation index can further comprise at least one of a diastole diaphragm oscillation index SSI distolic and a systole diaphragm oscillation index SSI systolic.
When the diaphragm oscillation index includes the diastolic diaphragm oscillation index SSI distolic or the systolic diaphragm oscillation index SSI systolic, the actual deflection parameter may reflect the degree of diaphragm deflection in diastole or systole.
When the diaphragm oscillation index includes the diastolic diaphragm oscillation index SSI distolic and the systolic diaphragm oscillation index SSI systolic, the actual deflection parameter may comprehensively reflect the degree of diaphragm deflection in diastole and systole.
When the biological heart image comprises a plurality of biological heart images of the same type of end of working state, the actual deflection parameter may comprise an average of the diaphragm wobble index of the biological heart at the end of the plurality of working states. At this time, the diaphragm wobble index may be determined for each biological heart image, and then the diaphragm wobble indexes determined for all biological heart images are summed and averaged, so that the same type of actual offset parameter may be accurately acquired. It will be appreciated that if the diaphragm oscillation index of the systole is determined for each biological heart image, the actual offset parameter of the systole can be accurately obtained using the average value of the diaphragm oscillation indexes of the biological heart at the end of a plurality of operating states as the actual offset parameter.
When the biological heart image comprises a biological heart image of the end of two operational states, including the end diastole and the end systole of the biological heart, the actual offset parameter is therefore a weighted sum of the diaphragm wobble indices of the biological heart at the end of the two operational states. At this time, the actual offset parameter may be determined with reference to a formula for calculating the mean arterial pressure of the cardiac catheter.
For example, the actual diaphragm oscillation index may be calculated by setting the weight of the diaphragm oscillation index at the end of diastole to 2/3 and the weight of the diaphragm oscillation index at the end of systole to 1/3, and using the actual diaphragm oscillation index as the actual offset parameter. In other words, when the biological heart image comprises two different types of biological heart images at the end of the operating state, the actual offset parameters satisfy:
SSI Real world represents the actual diaphragm oscillation index, SSI systolic represents the systolic diaphragm oscillation index, and SSI distolic represents the diastolic diaphragm oscillation index.
In one example, the geometric parameters of each ventricle are those of multiple ventricular planes at the end of the same operating state. At this time, the determining module may be configured to select the geometric parameters of the at least two target ventricular planes from the geometric parameters of the plurality of ventricular planes at the end of the same operating state based on the areas of the respective ventricular planes at the end of the same operating state. The area of at least two of the target ventricular section images is larger than the area of the non-target ventricles in the plurality of ventricular section images. And because the deviation of the room interval is more obvious when the section area is the largest, the determined diaphragm swing index is more accurate when the determining module determines the corresponding diaphragm swing index based on the geometric parameter of each target ventricular section.
In practical application, the magnetic resonance imaging device can be used for scanning the axial position image of the human heart in a layering manner in the axial position direction, and the obtained human heart image comprises a plurality of layers (such as 8 layers) of heart axial position section images. After that, the image segmentation mode is adopted to separate out the ventricular axial position section image from each layer of cardiac axial position section image, and simultaneously, the geometric parameters of the ventricles are generated, so that the multi-layer ventricular axial position section image and the geometric parameters thereof are obtained. For example, these geometric parameters may include ventricular volume, ventricular axial cross-sectional area, and ventricular axial cross-sectional perimeter, among others.
And then, sorting the multi-layer ventricular axial section images according to the multi-layer ventricular axial section area, and selecting the multi-layer ventricular axial section images arranged in the first few positions to determine the subsequent actual offset parameters. For example, the first two ventricular axial slice images with the largest areas can be selected to determine the actual offset parameter. It will be appreciated that since the ventricular shape is approximately circular, when the two ventricular axial sectional images with the largest area are selected, the cardiac axial sectional images in which the two ventricular axial sectional images are located are continuous.
In one example, when the geometric parameter of the ventricles comprises the volumes of both ventricles, the actual deflection parameter comprises the septum oscillation index, which is the ratio of the septum oscillation index to the volumes of both ventricles.
When the two ventricles comprise a left ventricle and a right ventricle, the diaphragm oscillation index can be the ratio of the volume of the left ventricle to the volume of the right ventricle, or the ratio of the maximum section area of the axial section image of the left ventricle to the maximum section area of the axial section image of the right ventricle, so that the diaphragm oscillation index is related to the ratio of the volumes of the two ventricles, and the diaphragm oscillation index is related to the ratio of the maximum section areas of the two ventricles.
When the number of ventricles is one, the diaphragm oscillation index may be the square ratio of the maximum tangential area of the axial tangential plane of the ventricles and the maximum circumferential area of the axial tangential plane of the ventricles. It follows that the diaphragm oscillation index is proportional to the maximum section area of the ventricular axial section image, and the diaphragm oscillation index is inversely proportional to the square of the maximum section perimeter of the ventricular axial section image. The diaphragm oscillation index satisfies:
wherein, SSI is the diaphragm oscillation index, ventriculararea is the maximum tangent plane area of the axial section image of the ventricle, ventricularperimeter is the maximum tangent plane perimeter of the axial section image of the ventricle, and the maximum tangent plane area and the maximum tangent plane perimeter of the axial section image of the ventricle belong to the same ventricle.
In one example, when the septum oscillation index is that of the left ventricle, the left ventricular septum oscillation index satisfies:
wherein SSI represents the left ventricular septum oscillation index, leftventriculararea represents the left ventricular axial section image maximum section area, leftventricularperimeter represents the left ventricular axial section image maximum section circumference.
In one example, it may be the right ventricular axial slice image maximum slice area to maximum slice perimeter square ratio, the right ventricular septum oscillation index satisfying:
wherein SSI represents the right ventricular septum oscillation index, rightventriculararea represents the right ventricular axial section image maximum section area, righttventricularperimeter represents the right ventricular axial section image maximum section circumference.
From the foregoing, exemplary embodiments of the present invention may determine the actual offset parameter of the inter-chamber space in a non-invasive manner to represent the degree of offset of the inter-chamber space. Figure 2 shows that 4 sets of cardiac axis images of clinical testers at different courses of disease are scanned in a magnetic resonance cine sequence, each set of cardiac axis images of the clinical testers including an end diastole axis image and an end systole axis image.
As shown in fig. 2, the first behavior end diastole image includes an axial image A1 of the end diastole of the clinical trial a, an axial image B1 of the end diastole of the clinical trial B, an axial image C1 of the end diastole of the clinical trial C, and an axial image D1 of the end diastole of the clinical trial D. The second behavior systole end phase image comprises an axial position image A2 of the systole end phase of the clinical trial A, an axial position image B2 of the systole end phase of the clinical trial B, an axial position image C2 of the systole end phase of the clinical trial C and an axial position image D2 of the systole end phase of the clinical trial D.
In the left to right direction of fig. 2, the average pulmonary artery pressures (hereinafter referred to as mPAP) of the clinical laboratory test person a, the clinical laboratory test person B, the clinical laboratory test person C, and the clinical laboratory test person D gradually increase. Wherein mPAP of clinical trial A was normal, mPAP of clinical trial B was 35mm Hg, mPAP of clinical trial C was 56mm Hg, mPAP of clinical trial D was 81mm Hg.
In each of the end diastole and end systole cardiac axial images of fig. 2, the left chamber is the right ventricle, the right chamber is the left ventricle, and the septum between the left ventricle and the right ventricle is the ventricular septum. As can be seen from fig. 2, as the severity of pulmonary arterial hypertension increases, the left ventricle changes from a circular shape to a "D" shape and the right ventricle changes from a crescent shape to a circular shape, and thus pulmonary arterial pressure has a correlation with ventricular septum excursion.
Based on the above, the embodiment of the invention carries out mathematical modeling on the ventricular septum intervals of clinical testers in different courses of disease based on the heart geometry, and the ventricular septum oscillation index used for determining the actual deviation parameter of the embodiment of the invention is illustrated by way of example to have smaller influence by individual difference and wide universality in the process of evaluating pulmonary artery pressure.
Fig. 3A shows a modeling diagram of the inter-chamber space of clinical tester a according to an exemplary embodiment of the present invention, and fig. 3B shows a modeling diagram of the inter-chamber space of clinical tester B according to an exemplary embodiment of the present invention. Fig. 3C shows a graph of modeling the inter-chamber space of clinical trial C, according to an exemplary embodiment of the present invention. FIG. 3D shows a graph of modeling the inter-chamber space of clinical trial D, according to an exemplary embodiment of the present invention. As shown in fig. 3A to 3D, the inter-chamber motion is approximated as a swing in which an elastic string is connected to both ends of a semicircle having a radius R, and the area formed by the elastic string (solid line) and the semicircle corresponds to the area of the left ventricle. During ventricular septum oscillation, it can be assumed that the elastic cord (ventricular septum) remains in an arc shape because the pressure distribution across the left and right ventricles is substantially uniform. Let the distance from the midpoint of the elastic cord to the center of the semicircle be L, R be the left ventricular radius, d=l/R, θ=pi-2 atan (1/d), r=2/3.
As in fig. 3A, when l=r, ssi=4pi 2/4π2 =1
As shown in FIG. 3B, when the elastic rope is at the left side of the center of the circle, the reference two can be calculated
As shown in fig. 3C, when the middle point of the elastic rope is located at the center position, i.e., l=0, reference type two calculations
When the elastic cord is on the right side of the center of the circle, as shown in FIG. 3D, reference type two calculations
When l= -R (not shown), ssi=0.
It can be seen that during the ventricular septum excursion, only d is related to the septum oscillation index and not to the left ventricular initial radius R (solid line), thus the individual differences in the organism can be ignored when determining the SSI using equation two in embodiments of the invention.
To verify the relationship between the septum oscillation index SSI and pulmonary arterial hypertension, heart magnetic resonance images and pulmonary arterial pressure measurement data of 109 patients were also collected according to an exemplary embodiment of the present invention, and a relationship diagram between SSI and mPAP as shown in fig. 4A was obtained.
As shown in fig. 4A, curve a is a relationship between SSI and mPAP of a patient with pulmonary arterial hypertension, broken line a1 and broken line a2 are 95% confidence intervals of curve a, curve b is a relationship between SSI and mPAP of a person with normal pulmonary arterial pressure, and broken line b1 and broken line b2 are 95% confidence intervals of curve b. As can be seen from fig. 4A, when mPAP is greater than 20mmHg, the separability between the curve a and the curve b is better, and since mPAP of the patient with pulmonary hypertension is greater than or equal to 25 mmHg and mPAP of the patient with normal pulmonary arterial pressure is between 18 and 25 mmHg, the effectiveness of the septum oscillation index SSI for predicting the pulmonary arterial hypertension of the patient is verified through statistical analysis, so that the actual offset parameter determined by the determining device of the ventricular offset parameter according to the embodiment of the present invention includes the septum oscillation index SSI, the patient with pulmonary arterial hypertension can be better screened.
Fig. 4B, curve a, is a common imaging evaluation index of a patient with pulmonary hypertension, the relationship between the myocardial quality indexes VMI and mPAP, the 95% confidence interval of the curve a, the dashed lines a1 and a2, the relationship between the normal pulmonary arterial pressure human VMI and mPAP, and the 95% confidence interval of the curve B, the dashed lines B1 and B2. As can be seen from fig. 4A, when mPAP is greater than 20mmHg, there is an overlap between curve a and curve b, which is not completely separated, and thus the ventricular mass index of the pulmonary arterial hypertension patient cannot measure well the mean pulmonary arterial pressure of the predicted patient.
Fig. 4C shows a graph of the relationship between main pulmonary artery diameters MPA and mPAP, which is another common imaging evaluation index, curve a is the relationship between MPA and mPAP for patients with pulmonary arterial hypertension, dashed line a1 and dashed line a2 are the 95% confidence intervals of curve a, curve b is the relationship between MPA and mPAP for persons with normal pulmonary arterial pressure, and dashed line b1 and dashed line b2 are the 95% confidence intervals of curve b. As can be seen from fig. 4A, when mPAP is greater than 20mmHg, there is an overlap between curve a and curve b, which is not completely separated, and thus the main pulmonary artery diameter of the pulmonary hypertension patient cannot measure well the mean pulmonary arterial pressure of the predicted patient.
The exemplary embodiment of the invention also provides an electronic device, and fig. 7 shows a schematic structural diagram of the electronic device according to the embodiment of the invention. As shown in FIG. 7, an electronic device of an embodiment of the invention includes at least one processor and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method of determining a room-to-room offset parameter according to an embodiment of the invention when executed by the at least one processor. The method comprises the following steps:
obtaining a biological heart image;
Determining a geometric parameter of at least one ventricle based on the biological heart image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
The present disclosure also provides a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method of determining a room-interval offset parameter according to an embodiment of the present disclosure. The method comprises the following steps:
obtaining a biological heart image;
determining a geometric parameter of at least one ventricle based on the biological heart site image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
The exemplary embodiments of the present disclosure also provide a computer program product comprising a computer program, wherein the computer program, when being executed by a processor of a computer, is for causing the computer to perform a method of determining a room-to-room offset parameter according to an embodiment of the present invention. The method comprises the following steps:
obtaining a biological heart image;
determining a geometric parameter of at least one ventricle based on the biological heart site image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
With reference to fig. 7, a block diagram of an electronic device that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the electronic device 700 includes a computing unit 701 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 may also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Various components in the electronic device 700 are connected to the I/O interface 705, including an input unit 706, an output unit 707, a storage unit 708, and a communication unit 709. The input unit 706 may be any type of device capable of inputting information to the electronic device 700, and the input unit 706 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 707 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 704 may include, but is not limited to, magnetic disks, optical disks. The communication unit 709 allows the electronic device 700 to exchange information/data with other devices through computer networks, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 701 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 701 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above. For example, in some embodiments, the method of determining the inter-chamber offset parameter of embodiments of the present invention may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 708. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 700 via the ROM 702 and/or the communication unit 709. In some embodiments, the computing unit 701 may be configured by any other suitable means (e.g. by means of firmware) to perform a method of determining the inter-chamber offset parameters of an embodiment of the invention, the method comprising:
obtaining a biological heart image;
determining a geometric parameter of at least one ventricle based on the biological heart site image;
an actual offset parameter of the ventricular interval is determined based on the geometric parameter of at least one of the ventricles.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user, for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback), and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), and the Internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described by the embodiments of the present disclosure are performed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, a terminal, a user equipment, or other programmable apparatus. The computer program or instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer program or instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that integrates one or more available media. The usable medium may be a magnetic medium such as a floppy disk, a hard disk, a magnetic tape, an optical medium such as a digital video disc (digital video disc, DVD), or a semiconductor medium such as a solid state disk (solid STATE DRIVE, SSD).
Although the present disclosure has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations thereof can be made without departing from the spirit and scope of the disclosure. Accordingly, the specification and drawings are merely exemplary illustrations of the present disclosure as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the disclosure. It will be apparent to those skilled in the art that various modifications and variations can be made to the present disclosure without departing from the spirit or scope of the disclosure. Thus, the present disclosure is intended to include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (11)
1. A device for determining a chamber-spacing offset parameter, comprising:
The acquisition module is used for acquiring a biological heart image;
A processing module for determining a geometric parameter of at least one ventricle based on the biological heart image;
A determining module for determining an actual offset parameter of a ventricular interval based on a geometric parameter of at least one of the ventricles;
The biological heart image comprises at least one operational state end biological heart image, and the actual deflection parameter comprises an actual deflection parameter determined by a diaphragm oscillation index of the biological heart at the at least one operational state end.
2. The ventricular offset parameter determination device of claim 1, wherein the processing module is configured to generate at least one ventricular region image and a geometric parameter in response to an operation for centering a ventricular region with respect to the biological heart image.
3. The apparatus for determining a ventricular offset parameter of claim 2, wherein the operation for the biological heart image central chamber region is a contour line operation for the biological heart image central chamber region.
4. The apparatus of claim 1, wherein the geometric parameters of each of the ventricles include a maximum tangent plane area and a maximum tangent plane perimeter of the same axial tangent plane image of the ventricle, and wherein the actual deflection parameters include a diaphragm wobble index, the diaphragm wobble index being proportional to the maximum tangent plane area and the diaphragm wobble index being inversely proportional to the square of the maximum tangent plane perimeter.
5. A device according to claim 3, wherein the actual offset parameter satisfies:
;
wherein SSI is the septum oscillation index, ventriculararea is the maximum cross-sectional area, ventricularperimeter is the maximum cross-sectional perimeter, and the maximum cross-sectional area and the maximum cross-sectional perimeter belong to the same ventricle.
6. The apparatus of claim 1, wherein when the geometric parameters of the ventricles include volumes of both ventricles, the actual deflection parameters include a diaphragm oscillation index, the diaphragm oscillation index being related to a ratio of the volumes of both ventricles, or,
When the geometric parameters of the ventricle include the maximum cross-sectional areas of the two ventricular axial cross-sectional images contained in the same cardiac slice separated from the biological cardiac image, the actual deflection parameter includes a diaphragm wobble index that is related to the ratio of the maximum cross-sectional areas of the two ventricular axial cross-sectional images.
7. The device for determining a ventricular septum excursion parameter as claimed in any one of claims 1 to 6, wherein when the biological heart image comprises a plurality of biological heart images of the same type at the end of a working state, the actual excursion parameter comprises an average value of diaphragm oscillation indexes of the biological heart at the end of the plurality of working states.
8. The device for determining a ventricular septum excursion parameter as claimed in any one of claims 1 to 6, wherein when the biological heart image comprises a biological heart image at the end of two operating states, the actual excursion parameter comprises a weighted sum of diaphragm oscillation indices of the biological heart at the end of the two operating states, the end of the two operating states comprising end diastole and end systole of the biological heart.
9. The device for determining ventricular septum deviation parameters according to any one of claims 1 to 6, wherein the geometric parameters of each of the ventricles are geometric parameters of a plurality of ventricular planes at the end of the same working state;
The determining module is used for selecting geometric parameters of at least two target ventricular planes from geometric parameters of a plurality of ventricular planes at the end stage of the same working state based on the areas of the ventricular planes at the end stage of the same working state, and determining corresponding diaphragm swing indexes based on the geometric parameters of each target ventricular plane;
The area of at least two of the target ventricular section images is larger than the area of a non-target ventricle in the plurality of ventricular section images.
10. An electronic device, comprising:
processor, and
A memory in which a program is stored,
Wherein the program comprises instructions that when executed by the processor cause the processor to perform a method of determining a room-to-room offset parameter, the method comprising:
obtaining a biological heart image;
Determining a geometric parameter of at least one ventricle based on the biological heart image;
determining an actual offset parameter of a ventricular interval based on a geometric parameter of at least one of the ventricles;
The biological heart image comprises at least one operational state end biological heart image, and the actual deflection parameter comprises an actual deflection parameter determined by a diaphragm oscillation index of the biological heart at the at least one operational state end.
11. A computer-readable storage medium storing computer instructions for causing a computer to perform a method of determining a room-interval offset parameter, the method comprising:
obtaining a biological heart image;
Determining a geometric parameter of at least one ventricle based on the biological heart image;
determining an actual offset parameter of a ventricular interval based on a geometric parameter of at least one of the ventricles;
The biological heart image comprises at least one operational state end biological heart image, and the actual deflection parameter comprises an actual deflection parameter determined by a diaphragm oscillation index of the biological heart at the at least one operational state end.
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