CN115083612A - Coil simulation method, device and equipment for surgical planning - Google Patents

Abstract

The embodiments of the present specification disclose a method, device and device for simulating a coil for surgical planning. The method includes: acquiring morphological parameters of the image data of the intracranial aneurysm to be processed; determining the diameter and size of the ring based on the morphological parameters and the preset packing rate of the image data of the intracranial aneurysm to be processed. The length of the hoop to determine the model of the hoop, and the length of the hoop is a length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed; The model of the said basket ring adopts the method of decreasing step by step to determine each model of the packing ring that satisfies the preset packing rate, and uses the last spring ring that meets the preset packing rate as the ending ring to complete the simulation of the spring ring .

Description

Coil simulation method, device and equipment for surgical planning

technical field

The present specification relates to the fields of computer technology and artificial intelligence, and in particular, to a coil simulation method, device and device for surgical planning.

Background technique

Intracranial aneurysms are mostly caused by abnormal bulges on the blood wall of intracranial arteries, and are the leading cause of subarachnoid hemorrhage. With the widespread use of 3D angiography, the maturing of neurointerventional technology, and the gradual development of new embolization technologies and embolization materials, the application and promotion of endovascular interventional therapy have been promoted, which will help to enhance its effectiveness and safety. Endovascular interventional therapy for intracranial aneurysm reflects the advantages of quick recovery and less damage, and has developed into the main approach for intracranial aneurysm treatment. At present, aneurysm embolization is the main treatment method, mainly using a microcatheter to send coils to the aneurysm cavity to occlude the aneurysm. This kind of coiling into the aneurysm is actually artificially increasing the slow blood flow, and the blood flow becomes very slow, basically stagnant in a short period of time, and becomes a thrombus. The pressure of the aneurysm will be significantly reduced, and the possibility of rupture will become very small, so as to achieve the purpose of aneurysm treatment. Therefore, the choice of coil is of great significance for the treatment of aneurysm. In the prior art, for the surgical planning of aneurysm embolization, the choice of the coil often depends on the doctor's experience, which is highly artificial and is not conducive to predicting the treatment effect.

Therefore, there is a need for a new method that can reduce or exclude the influence of human factors and improve the prognosis of aneurysm embolization.

SUMMARY OF THE INVENTION

The embodiments of this specification provide a coil simulation method, device, and device for surgical planning, which are used to solve the following technical problems: in the prior art, in the treatment of aneurysm embolization, the selection of coils often depends on the experience of doctors. The human factor is high, and it is not conducive to predict the treatment effect.

In order to solve the above-mentioned technical problems, the embodiments of this specification are implemented as follows:

A method for simulating a coil for surgical planning provided by the embodiments of this specification includes:

Obtain the morphological parameters of the image data of the intracranial aneurysm to be processed;

Based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, the diameter of the hoop and the length of the hoop are determined to determine the model of the hoop, and the hoop The length is the length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed;

Based on the model of the basket-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the ending ring to complete the spring ring. simulation.

An embodiment of this specification provides a coil simulation device for surgical planning, the device comprising:

an acquisition module to acquire the morphological parameters of the image data of the intracranial aneurysm to be processed;

The hoop determination module determines the diameter of the hoop and the length of the hoop based on the morphological parameters and the preset filling rate of the intracranial aneurysm image data to be processed, so as to determine the model of the hoop , the length of the loop is a length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed;

The packing ring and the closing ring determination module, based on the model of the basket ring, adopts a step-by-step decreasing method to determine each model of the packing ring that satisfies the preset packing rate, and will satisfy the preset packing rate. The last spring coil As a finishing coil, the simulation of the spring coil is completed.

The embodiments of this specification also provide an electronic device, including:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

Obtain the morphological parameters of the image data of the intracranial aneurysm to be processed;

Based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, the diameter of the hoop and the length of the hoop are determined to determine the model of the hoop, and the hoop The length is the length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed;

Based on the model of the basket-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the ending ring to complete the spring ring. simulation.

The above-mentioned at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects: by using the methods provided in the embodiments of this specification, operation planning can be automatically performed, automatic simulation of coils can be realized, the influence of human factors can be reduced or eliminated, and the aneurysm can be improved. Prognostic effect of embolization therapy.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the following briefly introduces the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments described in this specification. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative labor.

1 is a schematic diagram of a method for simulating a coil for surgical planning according to an embodiment of the present specification;

FIG. 2 is a schematic diagram of a coil simulation device for surgical planning according to an embodiment of the present specification.

Detailed ways

In order to make those skilled in the art better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described The embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments of the present specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

In the interventional treatment of aneurysms, the method of vascular intervention is used to perform dense embolization of the aneurysm with coils, which is an important interventional treatment method for aneurysms. This method introduces a coil into the aneurysm through a catheter, reducing its volume, resulting in a reduced flow rate into the blood and ideally resulting in complete occlusion of the aneurysm. In practice, multiple coils need to be placed in the aneurysm for embolization, and the first coil is responsible for the overall frame and basket formation of the entire aneurysm coil, that is, the first coil or the first coil is the final coil. hoop. Further, the basket ring is stuffed, so that the spring coils can be wound with each other more closely to form a dense embolism group. The end coil can reduce the risk of the coil protruding into the parent vessel and thrombosis; the end coil can significantly reduce the risk of aneurysm recurrence for the dense embolization of the aneurysm neck. Therefore, in the process of surgical planning, the selection of the spring coil into the basket ring, the packing ring and the finishing ring is of great significance for the success of the surgical planning.

Based on this, the embodiments of the present specification provide a coil simulation method for surgical planning. 1 is a schematic diagram of a method for simulating a coil for surgical planning according to an embodiment of the present specification. As shown in FIG. 1 , the method for simulating a coil includes the following steps:

Step S101 : acquiring the morphological parameters of the image data of the intracranial aneurysm to be processed.

In the embodiment of the present specification, the morphological parameters of the intracranial aneurysm image data to be processed at least include the long diameter of the intracranial aneurysm, the short diameter of the intracranial aneurysm, and the volume of the intracranial aneurysm. The acquisition of the morphological parameters of the intracranial aneurysm image data to be processed is in the prior art, and details are not described herein again.

In the embodiment of the present specification, the intracranial aneurysm to be treated may be a tiny aneurysm, a small aneurysm or a medium-sized aneurysm. Specifically, the diameter of the tiny aneurysm is 0-3 mm, the diameter of the small aneurysm is 3-5 mm, and the diameter of the medium-sized aneurysm is 5-10 mm.

Step S103: Based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, determine the diameter of the ring and the length of the ring, so as to determine the model of the ring, the The length of the hoop is a length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed.

After the morphological parameters of the intracranial aneurysm to be treated are acquired, further, based on the morphological parameters of the intracranial aneurysm to be treated, an operation plan can be performed, and the model of the coiled coil can be determined.

In a specific embodiment, the model of the ring of the spring coil mainly includes the diameter of the ring and the length of the ring. In the embodiment of the present specification, the diameter of the basket ring and the length of the basket ring are determined based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, so as to determine the basket ring The model of the circle, including:

Based on the morphological parameters of the intracranial aneurysm image data to be processed, the diameter of the ring and the length of the ring are determined, and the diameter of the ring and the length of the ring are both is an integer;

Under the diameter of the hoop, the model of the hoop closest to the length of the hoop is taken as the candidate size of the hoop;

Based on the diameter of the hoop corresponding to the candidate model of the hoop, the length of the hoop corresponding to the candidate model of the hoop, and the preset filling rate, the filling rate of the hoop is determined ;

If the filling rate of the forming ring is greater than or equal to the preset filling rate, then in the model corresponding to the diameter of the forming ring, a length less than the length of the forming ring is obtained as a new forming ring diameter, until the packing rate of the basket ring is less than the preset packing rate;

If the filling rate of the rim is smaller than the preset filling rate, the candidate model of the rim is used as the model of the rim.

Because the calculation of the diameter of the ring and the length of the ring cannot be guaranteed to be an integer, therefore, after calculating the diameter of the ring and the length of the ring, the obtained value is rounded to the nearest whole number. The diameter of the ring and the length of the ring are integers.

Since the function of the basket ring is to form the overall frame and basket of the spring coil, in the embodiment of the present specification, the basket spring coil is a 3D spring coil.

In the embodiments of the present specification, the preset filling rate is any one of 25%, 30% or 35%. The specific value of the preset filling rate can be determined according to the surgical situation.

In the embodiment of this specification, the calculation formula of the filling rate is:

Packing rate = coil volume / aneurysm volume,

in,

The diameter of the spring coil is the diameter of the coil corresponding to the model of the spring, and the length of the coil is the length of the spring corresponding to the model of the spring.

In order to further understand the filling rate of the spring coil, the following will be described in conjunction with specific embodiments, taking the filling ring into a basket as an example,

Step S105: Based on the model of the ring-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the closing ring, and the completion of the process is completed. Simulation of spring coils.

Based on the foregoing steps, after obtaining the model of the ring, it is further necessary to determine the model used for the packing ring, so as to realize the dense filling of the spring ring.

In the embodiment of this specification, the model of the ring-forming ring is determined by adopting a step-by-step method of decreasing each model of the packing ring that satisfies the preset packing rate, specifically including:

Taking the diameter corresponding to the next model smaller than the model of the basket ring as the candidate diameter of the first spring coil of the packing ring;

The diameter of the first spring coil of the packing ring corresponds to the longest length of the model, as the candidate length of the first spring coil of the packing ring;

obtaining a first packing rate of the packing ring based on the candidate diameter of the first spring coil of the packing ring and the candidate length of the first spring coil of the packing ring;

If the (the first packing rate of the packing ring + the packing rate of the ring-forming ring) is greater than or equal to the preset packing rate, then under the model corresponding to the diameter of the first spring coil of the packing ring, obtain a value less than or equal to The length of the length of the first spring coil of the packing ring, as the length of the first spring coil of the new packing ring, until the (first packing rate of the packing ring + the packing rate of the basket ring) ) is less than the preset packing rate; if the (first packing rate of the packing ring + the packing rate of the basket ring) is less than the preset packing rate, the candidate of the first spring coil of the packing ring will be The model of the spring coil corresponding to the diameter and the candidate length of the first spring coil, as the model of the first spring coil of the packing ring;

In the cyclic operation, the model of the packing ring is obtained by a step-by-step decreasing method, and the model of the packing ring is determined until each model of the packing ring that satisfies the preset packing rate is determined.

It should be noted that (the first packing rate of the packing ring + the packing rate of the basket ring) is the packing rate of the spring coil, and the packing rate of the spring coil should be less than or equal to the preset packing rate.

In the embodiments of the present specification, the packing ring and the ending ring are 2D spring coils or 3D spring coils.

By using the method provided by the embodiments of the present specification, operation planning can be performed automatically, automatic simulation of the coil can be realized, the influence of human factors can be reduced or eliminated, and the prognosis effect of aneurysm embolization treatment can be improved.

The embodiment of the present specification provides a coil simulation method for surgical planning. Correspondingly, the embodiment of the present specification also provides a coil simulation device for surgical planning. FIG. 2 provides the embodiment of the present specification. A schematic diagram of a coil simulation device for surgical planning, as shown in Figure 2, the coil simulation device includes:

The acquiring module 201 acquires the morphological parameters of the image data of the intracranial aneurysm to be processed;

The hoop determination module 203 determines the diameter of the hoop and the length of the hoop based on the morphological parameters of the image data of the intracranial aneurysm to be processed, so as to determine the model of the hoop, and the hoop The length of the hoop is a length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed;

The packing ring and the closing ring determination module 205, based on the model of the basket ring, adopts a step-by-step method of decreasing, and determines each model of the packing ring that satisfies the preset packing rate, and will satisfy the last preset packing rate. A spring coil is used as the closing coil to complete the simulation of the spring coil.

In the embodiment of the present specification, when the intracranial aneurysm to be treated is a small aneurysm or a micro-small aneurysm, the short diameter of the small aneurysm or the micro-small aneurysm is used as the ring-shaped aneurysm. diameter;

When the intracranial aneurysm to be processed is a medium-sized aneurysm, the diameter of the ring = (the long diameter of the aneurysm in the image data of the brain aneurysm to be processed + the image data of the brain aneurysm to be processed The long diameter of the aneurysm in )/2;

Three times of the long diameter of the aneurysm of the intracranial aneurysm image data to be processed is used as the length of the loop.

In the embodiment of the present specification, the diameter of the basket ring and the length of the basket ring are determined based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, so as to determine the basket ring The model of the circle, including:

Based on the morphological parameters of the intracranial aneurysm image data to be processed, the diameter of the ring and the length of the ring are determined, and the diameter of the ring and the length of the ring are both is an integer;

Under the diameter of the hoop, the model of the hoop closest to the length of the hoop is taken as the candidate size of the hoop;

Based on the diameter of the hoop corresponding to the candidate model of the hoop, the length of the hoop corresponding to the candidate model of the hoop, and the preset filling rate, the filling rate of the hoop is determined ;

If the filling rate of the forming ring is greater than or equal to the preset filling rate, then in the model corresponding to the diameter of the forming ring, a length less than the length of the forming ring is obtained as a new forming ring diameter, until the packing rate of the basket ring is less than the preset packing rate;

If the filling rate of the rim is smaller than the preset filling rate, the candidate model of the rim is used as the model of the rim.

In the embodiment of this specification, the model of the ring-forming ring is determined by adopting a step-by-step method of decreasing each model of the packing ring that satisfies the preset packing rate, specifically including:

Taking the diameter corresponding to the next model smaller than the model of the basket ring as the candidate diameter of the first spring coil of the packing ring;

The diameter of the first spring coil of the packing ring corresponds to the longest length of the model, as the candidate length of the first spring coil of the packing ring;

obtaining a first packing rate of the packing ring based on the candidate diameter of the first spring coil of the packing ring and the candidate length of the first spring coil of the packing ring;

If the (the first packing rate of the packing ring + the packing rate of the ring-forming ring) is greater than or equal to the preset packing rate, then under the model corresponding to the diameter of the first spring coil of the packing ring, obtain a value less than or equal to The length of the length of the first spring coil of the packing ring, as the length of the first spring coil of the new packing ring, until the (first packing rate of the packing ring + the packing rate of the basket ring) ) is less than the preset packing rate; if the (first packing rate of the packing ring + the packing rate of the basket ring) is less than the preset packing rate, the candidate of the first spring coil of the packing ring will be The model of the spring coil corresponding to the diameter and the candidate length of the first spring coil, as the model of the first spring coil of the packing ring;

In the cyclic operation, the model of the packing ring is obtained by a step-by-step decreasing method, and the model of the packing ring is determined until each model of the packing ring that satisfies the preset packing rate is determined.

In the embodiments of the present specification, the diameter of the tiny aneurysm is 0-3 mm, the diameter of the small aneurysm is 3-5 mm, and the diameter of the medium-sized aneurysm is 5-10 mm.

In the embodiment of the present specification, the basket-forming ring is a 3D spring coil, and the stuffing ring and the finishing ring are a 2D spring coil or a 3D spring coil.

In the embodiments of the present specification, the preset filling rate is any one of 25%, 30% or 35%.

In the embodiment of this specification, the calculation formula of the filling rate is:

Packing rate = coil volume / aneurysm volume,

in,

The diameter of the spring coil is the diameter of the coil corresponding to the model of the spring, and the length of the coil is the length of the spring corresponding to the model of the spring.

The embodiments of this specification also provide an electronic device, including:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

Based on the model of the basket-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the ending ring to complete the spring ring. simulation.

In the embodiment of the present specification, when the intracranial aneurysm to be treated is a small aneurysm or a micro-small aneurysm, the short diameter of the small aneurysm or the micro-small aneurysm is used as the ring-shaped aneurysm. diameter;

When the intracranial aneurysm to be processed is a medium-sized aneurysm, the diameter of the ring = (the long diameter of the aneurysm in the image data of the brain aneurysm to be processed + the image data of the brain aneurysm to be processed The long diameter of the aneurysm in )/2;

Three times of the long diameter of the aneurysm of the intracranial aneurysm image data to be processed is used as the length of the loop.

In the embodiment of the present specification, the diameter of the basket ring and the length of the basket ring are determined based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, so as to determine the basket ring The model of the circle, including:

Based on the morphological parameters of the intracranial aneurysm image data to be processed, the diameter of the ring and the length of the ring are determined, and the diameter of the ring and the length of the ring are both is an integer;

Under the diameter of the hoop, the model of the hoop closest to the length of the hoop is taken as the candidate size of the hoop;

Based on the diameter of the hoop corresponding to the candidate model of the hoop, the length of the hoop corresponding to the candidate model of the hoop, and the preset filling rate, the filling rate of the hoop is determined ;

If the filling rate of the forming ring is greater than or equal to the preset filling rate, then in the model corresponding to the diameter of the forming ring, a length less than the length of the forming ring is obtained as a new forming ring diameter, until the packing rate of the basket ring is less than the preset packing rate;

If the filling rate of the rim is smaller than the preset filling rate, the candidate model of the rim is used as the model of the rim.

In the embodiment of this specification, the model of the ring-forming ring is determined by adopting a step-by-step method of decreasing each model of the packing ring that satisfies the preset packing rate, specifically including:

Taking the diameter corresponding to the next model smaller than the model of the basket ring as the candidate diameter of the first spring coil of the packing ring;

The diameter of the first spring coil of the packing ring corresponds to the longest length of the model, as the candidate length of the first spring coil of the packing ring;

obtaining a first packing rate of the packing ring based on the candidate diameter of the first spring coil of the packing ring and the candidate length of the first spring coil of the packing ring;

If the (the first packing rate of the packing ring + the packing rate of the ring-forming ring) is greater than or equal to the preset packing rate, then under the model corresponding to the diameter of the first spring coil of the packing ring, obtain a value less than or equal to The length of the length of the first spring coil of the packing ring, as the length of the first spring coil of the new packing ring, until the (first packing rate of the packing ring + the packing rate of the basket ring) ) is less than the preset packing rate; if the (first packing rate of the packing ring + the packing rate of the basket ring) is less than the preset packing rate, the candidate of the first spring coil of the packing ring will be The model of the spring coil corresponding to the diameter and the candidate length of the first spring coil, as the model of the first spring coil of the packing ring;

In the cyclic operation, the model of the packing ring is obtained by a step-by-step decreasing method, and the model of the packing ring is determined until each model of the packing ring that satisfies the preset packing rate is determined.

In the embodiments of the present specification, the diameter of the tiny aneurysm is 0-3 mm, the diameter of the small aneurysm is 3-5 mm, and the diameter of the medium-sized aneurysm is 5-10 mm.

In the embodiment of the present specification, the basket-forming ring is a 3D spring coil, and the stuffing ring and the finishing ring are a 2D spring coil or a 3D spring coil.

In the embodiments of the present specification, the preset filling rate is any one of 25%, 30% or 35%.

In the embodiment of this specification, the calculation formula of the filling rate is:

Packing rate = coil volume / aneurysm volume,

in,

The diameter of the spring coil is the diameter of the coil corresponding to the model of the spring, and the length of the coil is the length of the spring corresponding to the model of the spring.

The foregoing describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus, electronic equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for related parts.

The apparatuses, electronic devices, and non-volatile computer storage media provided in the embodiments of this specification correspond to the methods. Therefore, the apparatuses, electronic devices, and non-volatile computer storage media also have beneficial technical effects similar to those of the corresponding methods. The beneficial technical effects of the method have been described in detail above, and therefore, the beneficial technical effects of the corresponding apparatus, electronic equipment, and non-volatile computer storage medium will not be repeated here.

In the 1990s, improvements in a technology could be clearly differentiated between improvements in hardware (eg, improvements to circuit structures such as diodes, transistors, switches, etc.) or improvements in software (improvements in method flow). However, with the development of technology, the improvement of many methods and processes today can be regarded as a direct improvement of the hardware circuit structure. Designers almost get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be realized by hardware entity modules. For example, a Programmable Logic Device (PLD) (eg, Field Programmable Gate Array (FPGA)) is an integrated circuit whose logic function is determined by user programming of the device. It is programmed by the designer to "integrate" a digital system on a PLD without having to ask the chip manufacturer to design and manufacture a dedicated integrated circuit chip. And, instead of making integrated circuit chips by hand, these days, much of this programming is done using software called a "logic compiler", which is similar to the software compiler used in program development and writing, but before compiling The original code also has to be written in a specific programming language, which is called Hardware Description Language (HDL), and there is not only one HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language) , AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCa1, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (RubyHardware Description Language), etc. The most commonly used are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. It should also be clear to those skilled in the art that a hardware circuit for implementing the logic method process can be easily obtained by simply programming the method process in the above-mentioned several hardware description languages and programming it into the integrated circuit.

The controller may be implemented in any suitable manner, for example, the controller may take the form of eg a microprocessor or processor and a computer readable medium storing computer readable program code (eg software or firmware) executable by the (micro)processor , logic gates, switches, application specific integrated circuits (ASICs), programmable logic controllers and embedded microcontrollers, examples of controllers include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicon Labs C8051F320, the memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that, in addition to implementing the controller in the form of pure computer-readable program code, the controller can be implemented as logic gates, switches, application-specific integrated circuits, programmable logic controllers and embedded devices by logically programming the method steps. The same function can be realized in the form of a microcontroller, etc. Therefore, such a controller can be regarded as a hardware component, and the devices included therein for realizing various functions can also be regarded as a structure within the hardware component. Or even, the means for implementing various functions can be regarded as both a software module implementing a method and a structure within a hardware component.

The systems, devices, modules or units described in the above embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or A combination of any of these devices.

For the convenience of description, when describing the above device, the functions are divided into various units and described respectively. Of course, when implementing one or more embodiments of the present specification, the functions of each unit may be implemented in one or more software and/or hardware.

As will be appreciated by one skilled in the art, the embodiments of the present specification may be provided as a method, a system, or a computer program product. Accordingly, embodiments of this specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present specification may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The specification is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data optimization device to produce a machine such that the instructions executed by the processor of the computer or other programmable data optimization device produce a Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

The computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data optimization apparatus to function in a particular manner, such that the instructions stored in the computer readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data optimization device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture, or device that includes the element.

This specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The instructions can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to the partial descriptions of the method embodiments.

The above descriptions are merely embodiments of the present specification, and are not intended to limit the present application. Various modifications and variations of this application are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims (10)

1. A coil simulation method for surgical planning, wherein the method comprises: Obtain the morphological parameters of the image data of the intracranial aneurysm to be processed; Based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, the diameter of the hoop and the length of the hoop are determined to determine the model of the hoop, and the hoop The length is the length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed; Based on the model of the basket-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the ending ring to complete the spring ring. simulation. 2. The method according to claim 1, wherein when the intracranial aneurysm to be treated is a small aneurysm or a small aneurysm, the short aneurysm of the small aneurysm or the small aneurysm is treated. diameter as the diameter of the hoop; When the intracranial aneurysm to be processed is a medium-sized aneurysm, the diameter of the ring = (the long diameter of the aneurysm in the image data of the brain aneurysm to be processed + the image data of the brain aneurysm to be processed The long diameter of the aneurysm in )/2; Three times of the long diameter of the aneurysm of the intracranial aneurysm image data to be processed is used as the length of the loop. 3. The method of claim 1, wherein the diameter of the hoop and the size of the hoop are determined based on the morphological parameters and the preset filling rate of the intracranial aneurysm image data to be processed. length to determine the model of the hoop, including: Based on the morphological parameters of the intracranial aneurysm image data to be processed, the diameter of the ring and the length of the ring are determined, and the diameter of the ring and the length of the ring are both is an integer; Under the diameter of the hoop, the model of the hoop closest to the length of the hoop is taken as the candidate size of the hoop; Based on the diameter of the hoop corresponding to the candidate model of the hoop, the length of the hoop corresponding to the candidate model of the hoop, and the preset filling rate, the filling rate of the hoop is determined ; If the filling rate of the forming ring is greater than or equal to the preset filling rate, then in the model corresponding to the diameter of the forming ring, a length less than the length of the forming ring is obtained as a new forming ring diameter, until the packing rate of the basket ring is less than the preset packing rate; If the filling rate of the rim is smaller than the preset filling rate, the candidate model of the rim is used as the model of the rim. 4. The method according to claim 1, wherein the model based on the described hoop, adopts a step-by-step decreasing method to determine each model of the caulking rim that satisfies the preset caulking rate, specifically comprising: Taking the diameter corresponding to the next model smaller than the model of the basket ring as the candidate diameter of the first spring coil of the packing ring; The diameter of the first spring coil of the packing ring corresponds to the longest length of the model, as the candidate length of the first spring coil of the packing ring; obtaining a first packing rate of the packing ring based on the candidate diameter of the first spring coil of the packing ring and the candidate length of the first spring coil of the packing ring; If the (the first packing rate of the packing ring + the packing rate of the ring-forming ring) is greater than or equal to the preset packing rate, then under the model corresponding to the diameter of the first spring coil of the packing ring, obtain a value less than or equal to The length of the length of the first spring coil of the packing ring, as the length of the first spring coil of the new packing ring, until the (first packing rate of the packing ring + the packing rate of the basket ring) ) is less than the preset packing rate; if the (first packing rate of the packing ring + the packing rate of the basket ring) is less than the preset packing rate, the candidate of the first spring coil of the packing ring will be The model of the spring coil corresponding to the diameter and the candidate length of the first spring coil, as the model of the first spring coil of the packing ring; In the cyclic operation, the model of the packing ring is obtained by a step-by-step decreasing method, and the model of the packing ring is determined until each model of the packing ring that satisfies the preset packing rate is determined. 5. The method of claim 2, wherein the diameter of the tiny aneurysm is 0-3 mm, the diameter of the small aneurysm is 3-5 mm, and the diameter of the medium-sized aneurysm is 5-5 mm 10mm. 6 . The method of claim 1 , wherein the basket forming ring is a 3D spring coil, and the stuffing ring and the finishing ring are a 2D spring coil or a 3D spring coil. 7 . 7. The method of claim 1, wherein the preset packing rate is any one of 25%, 30%, or 35%. 8. the method as described in any one of claim 3 or 4, is characterized in that, the calculation formula of packing rate is: Packing rate = coil volume / aneurysm volume, in,

The diameter of the spring coil is the diameter of the coil corresponding to the model of the spring, and the length of the coil is the length of the spring corresponding to the model of the spring. 9. A coil simulation device for surgical planning, wherein the device comprises: an acquisition module to acquire the morphological parameters of the image data of the intracranial aneurysm to be processed; The hoop determination module determines the diameter of the hoop and the length of the hoop based on the morphological parameters and the preset filling rate of the intracranial aneurysm image data to be processed, so as to determine the model of the hoop , the length of the loop is a length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed; The packing ring and the closing ring determination module, based on the model of the basket ring, adopts a step-by-step decreasing method to determine each model of the packing ring that satisfies the preset packing rate, and will satisfy the preset packing rate. The last spring coil As a finishing coil, the simulation of the spring coil is completed. 10. An electronic device comprising: at least one processor; and, a memory communicatively coupled to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to: Obtain the morphological parameters of the image data of the intracranial aneurysm to be processed; Based on the morphological parameters and the preset packing rate of the intracranial aneurysm image data to be processed, the diameter of the hoop and the length of the hoop are determined to determine the model of the hoop, and the hoop The length is the length determined based on the long diameter of the aneurysm in the morphological parameters of the intracranial aneurysm image data to be processed; Based on the model of the basket-forming ring, the method of decreasing step by step is adopted to determine each model of the packing ring that meets the preset packing rate, and the last spring ring that meets the preset packing rate is used as the ending ring to complete the spring ring. simulation.

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