CN112971979A - Simulation system, simulation method and device - Google Patents
Simulation system, simulation method and device Download PDFInfo
- Publication number
- CN112971979A CN112971979A CN202110150238.2A CN202110150238A CN112971979A CN 112971979 A CN112971979 A CN 112971979A CN 202110150238 A CN202110150238 A CN 202110150238A CN 112971979 A CN112971979 A CN 112971979A
- Authority
- CN
- China
- Prior art keywords
- blood vessel
- simulation
- processing
- vessel model
- initial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
- A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
- A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
- A61B2034/101—Computer-aided simulation of surgical operations
- A61B2034/105—Modelling of the patient, e.g. for ligaments or bones
Abstract
The invention discloses a simulation system, a simulation method and a simulation device. Wherein, this simulation system can include: a model generation module for generating an initial vessel model of the target object; the interaction module is used for processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model; the simulation module is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results; and the display module is used for displaying the at least two blood flow simulation results. The invention solves the technical problem that the simulation and comparison of various treatment schemes can not be carried out on the acquired medical image in the related technology.
Description
Technical Field
The invention relates to the technical field of simulation in computer-assisted medical treatment, in particular to a simulation system, a simulation method and a simulation device.
Background
Cardiovascular and cerebrovascular diseases are one of the most threatening types of diseases for human life and health. In particular, cardiovascular and cerebrovascular diseases have the pathological changes of vessel blockage, stenosis, calcification, plaque and the like, which cause local blood supply insufficiency of cardiac muscle and brain, and can endanger life in serious cases. Cardiovascular diseases are often diagnosed clinically by medical imaging techniques. The clinical diagnosis method is to scan and image relevant parts with CT, magnetic resonance and other medical image equipment.
At present, image processing technology is developed and applied, and computer image processing technology can be used for carrying out computer analysis processing on medical images obtained by scanning patients, so that medical image analysis processing results with clinical value can be obtained, and doctors can be effectively helped to diagnose.
In addition, in the field of diagnosis and treatment of cardiovascular and cerebrovascular diseases, a geometric model and a physical model of a blood vessel of a patient are obtained by processing medical images, and can be analyzed by combining with a fluid dynamic simulation technology, so that various blood vessel parameters of the patient can be obtained, including but not limited to: the flow rate, flow speed, diameter, FFR (fractional flow reserve), CFR (coronary flow reserve), etc. of the blood vessel, which can be calculated by image processing software and provided to the doctor, so as to help the doctor to make a better diagnosis.
For clinical diseases such as vascular occlusion, stenosis and the like, in severe cases, the operation treatment is clinically carried out by adopting modes such as vascular stent implantation, vascular bypass and the like. The selection of a particular treatment regimen requires a physician to select it in conjunction with clinical experience.
At present, for clinical diseases such as vascular occlusion, stenosis and the like, in severe cases, the operation treatment is clinically carried out by adopting modes such as vascular stent implantation, vascular bypass and the like. If the stent implantation mode is selected for treatment, the intravascular stents have different sizes, materials, models and the like, and need doctors to make judgment and selection according to experience; if a vascular bypass approach is selected for treatment, multiple vascular bypass schemes are also possible. However, the above solutions can not effectively analyze the acquired medical image.
Aiming at the problem that the simulation and comparison of various treatment schemes cannot be carried out on the acquired medical image in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a simulation system, a simulation method and a simulation device, which at least solve the technical problem that the simulation and comparison of multiple treatment schemes cannot be carried out on a collected medical image in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a simulation system including: a model generation module for generating an initial vessel model of the target object; an interaction module, configured to process the initial blood vessel model by using at least two processing strategies, and obtain intermediate blood vessel models corresponding to the at least two processing strategies respectively, where the at least two processing strategies are preset strategies and are used to perform a predetermined operation on the initial blood vessel model; the simulation module is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results; and the display module is used for displaying the at least two blood flow simulation results.
Optionally, the at least two treatment strategies are a combination of at least two of the following computer simulation strategies respectively corresponding to the multiple vascular disease treatment modalities: vascular stent implantation, vascular bypass, balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty.
Optionally, the simulation system further includes: an image acquisition module for acquiring a medical image map of the target object, wherein the medical image map is used for generating the initial blood vessel model; and the image segmentation module is used for segmenting the medical image map to obtain a blood vessel image of the target object.
Optionally, the simulation system further includes: the image analysis module is used for analyzing the blood vessel image or the initial blood vessel model to obtain focus information of the target object; and the processing strategy determining module is used for responding to the interactive instruction and determining the at least two processing strategies based on the interactive instruction.
Optionally, the simulation module is further configured to perform simulation processing on the initial blood vessel model before performing blood flow simulation processing on the intermediate blood vessel model, so as to obtain an initial blood flow simulation result of the initial blood vessel model.
Optionally, the interaction module includes: the virtual stent implantation sub-module is used for responding to the interactive instruction and placing a virtual stent in the initial blood vessel model to obtain an intermediate blood vessel model processed by adopting a blood vessel stent implantation operation; and the bridge blood vessel adding submodule is used for responding to the interactive instruction and adding a virtual bridge blood vessel on the initial blood vessel model to obtain an intermediate blood vessel model processed by adopting a blood vessel bypass operation.
Optionally, the simulation system further includes: a blood flow parameter obtaining module, configured to obtain blood flow indexes corresponding to the at least two blood flow simulation results respectively, where the blood flow indexes include at least one of: fractional flow reserve FFR, vascular wall shear stress WSS, vascular pressure, blood flow rate; and the evaluation module is used for evaluating the at least two processing strategies based on the blood flow index and obtaining an evaluation result.
Optionally, the display module displays the at least two blood flow simulation results in a comparison manner on the same interface.
According to another aspect of the embodiments of the present invention, there is provided a simulation method applied to any one of the simulation systems described above, including: acquiring an initial blood vessel model of a target object; processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model; and respectively carrying out blood flow simulation treatment on the intermediate blood vessel models corresponding to the at least two treatment strategies to obtain at least two blood flow simulation results, and displaying the at least two blood flow simulation results.
Optionally, the at least two treatment strategies are a combination of at least two of the following computer simulation strategies respectively corresponding to the multiple vascular disease treatment modalities: vascular stent implantation, vascular bypass, balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty.
Optionally, before obtaining the initial blood vessel model of the target object, the simulation method further includes: acquiring a medical image map of the target object, wherein the medical image map is used for generating the initial blood vessel model; and segmenting the medical image map to obtain a blood vessel image of the target object.
Optionally, the simulation method further includes: analyzing the blood vessel image or the initial blood vessel model to obtain focus information of the target object; the at least two processing strategies are determined in response to the instructions of interaction and based on the instructions of interaction.
Optionally, before the blood flow simulation processing is performed on the intermediate blood vessel model, the simulation method further includes: and carrying out simulation processing on the initial blood vessel model to obtain an initial blood flow simulation result of the initial blood vessel model.
Optionally, the initial vessel model is processed using at least two processing strategies, including: responding to the interactive instruction, placing a virtual stent in the initial vessel model to obtain an intermediate vessel model processed by adopting a vessel stent implantation; and responding to the click operation of the initial position and the ending position of the to-be-added bridge vessel determined on the initial vessel model based on the focus information to obtain an intermediate vessel model processed by adopting the vessel bypass surgery.
Optionally, the simulation method further includes: respectively obtaining blood flow indexes corresponding to the at least two blood flow simulation results, wherein the blood flow indexes include at least one of the following: fractional flow reserve FFR, vascular wall shear stress WSS, vascular pressure; and evaluating the at least two processing strategies based on the blood flow index to obtain an evaluation result.
According to another aspect of the embodiments of the present invention, there is provided a simulation apparatus applied to the simulation method described in any one of the above, including: an acquisition unit for acquiring an initial blood vessel model of a target object; the processing unit is used for processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model; and the simulation unit is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results and displaying the at least two blood flow simulation results.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is executed by a processor, the computer program controls a device in which the computer storage medium is located to execute any one of the above simulation methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to run a computer program, where the computer program executes the simulation method described in any one of the above.
In the embodiment of the invention, a model generation module is adopted for generating an initial blood vessel model of a target object; the interaction module is used for processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model; the simulation module is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results; and the display module is used for displaying the at least two blood flow simulation results. The simulation system provided by the embodiment of the invention realizes the purposes of processing the initial blood vessel model by adopting at least two processing strategies and simulating the intermediate blood vessel model obtained by processing, achieves the technical effect of simulating and comparing various treatment schemes more intuitively and clearly, and further solves the technical problem that the simulation and comparison of various treatment schemes cannot be carried out on the acquired medical image in the related technology.
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 application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a simulation system according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a cardiac coronary artery correlation in a simulation system interface according to an embodiment of the present invention;
FIG. 3(a) is a diagram of a vascular bypass simulation interface according to an embodiment of the present invention;
FIG. 3(b) is a diagram of a simulation interface for coronary stent implantation according to an embodiment of the present invention;
FIG. 4 is a flow diagram of a simulation method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a simulation apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an aspect of an embodiment of the present invention, there is provided a simulation system, and fig. 1 is a schematic diagram of a simulation system according to an embodiment of the present invention, as shown in fig. 1, the simulation system may include: a model generation module 11, an interaction module 13, a simulation module 15 and a presentation module 17. The simulation system is explained below.
A model generation module 11, configured to generate an initial blood vessel model of the target object.
Optionally, the model generation module herein may be configured to generate an initial blood vessel model of the target object based on the medical image of the target object.
The target object can be a cardiovascular and cerebrovascular part of a human body.
And the interaction module 13 is configured to process the initial blood vessel model by using at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, where the at least two processing strategies are preset strategies and are used to perform a predetermined operation on the initial blood vessel model.
Optionally, in this embodiment, an initial blood vessel model of the target object may be displayed through the interactive interface, and the doctor is allowed to perform simulation operations of two or more different treatment schemes on the initial blood vessel model; specifically, the doctor may highlight the detected lesion to facilitate virtual manipulation of the lesion site. For example, the lesion site may be highlighted after the initial vessel model is displayed, and an instruction scheme menu, such as a stent and a bridging two-item main menu, may be provided for the doctor, and if a stent is selected, a stent selection menu of different models may be provided; if the bypass is selected, the physician is required to select the starting position and the ending position of the added bridge vessel from the vessel model and select the diameter of the bridge vessel.
Optionally, the at least two treatment strategies are a combination of at least two of the following computer simulation strategies respectively corresponding to the multiple vascular disease treatment modalities: vascular stent implantation, vascular bypass, balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty.
And the simulation module 15 is configured to perform blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies, respectively, to obtain at least two blood flow simulation results.
And the display module 17 is used for displaying the at least two blood flow simulation results.
Optionally, in an embodiment of the present invention, the display module may compare and display at least two blood flow simulation results on the same interface. Specifically, the user can place or click a mouse on a specific blood vessel position on the blood vessel, and the terminal device can display the FFR of the specific position under various different treatment schemes, so that comparison by a doctor is facilitated.
As can be seen from the above, in the embodiment of the present invention, an initial blood vessel model of the target object may be generated by using the model generation module; then, processing the initial blood vessel model by using an interactive module by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies used for executing preset operation on the initial blood vessel model; respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies by using a simulation module to obtain at least two blood flow simulation results; and the display module is used for displaying the at least two blood flow simulation results, so that the purposes of processing the initial blood vessel model by adopting at least two processing strategies and simulating the intermediate blood vessel model obtained by processing are realized, and the technical effects of intuitively and clearly simulating and comparing various treatment schemes are achieved.
Therefore, the simulation system provided by the embodiment of the invention solves the technical problem that the simulation and comparison of various treatment schemes cannot be carried out on the acquired medical image in the related technology.
In an optional embodiment, the simulation system further comprises: the image acquisition module is used for acquiring a medical image map of the target object, wherein the medical image map is used for generating an initial blood vessel model; and the image segmentation module is used for segmenting the medical image map to obtain a blood vessel image of the target object.
In this embodiment, the image acquisition module may be utilized to acquire medical images (i.e., medical image maps) of the target object, e.g., different modalities of CT angiography (CTA), CT perfusion scan (CTP), CT scout (NCCT), etc.; but also magnetic resonance images, X-ray angiography, molecular imaging, intravascular ultrasound, etc.
In addition, in this embodiment, the medical image segmentation method may be a conventional image segmentation method, or may be a deep learning segmentation algorithm, which is not specifically limited in this embodiment of the present invention.
In an optional embodiment, the simulation system further comprises: the image analysis module is used for analyzing the blood vessel image or the initial blood vessel model to obtain focus information of the target object; and the processing strategy determining module is used for responding to the interactive instruction and determining at least two processing strategies based on the interactive instruction.
In this embodiment, lesion detection may be performed by the image analysis module, and specifically, a medical image or an initial blood vessel model may be processed, a location of a lesion (a lesion such as a blockage, a stenosis, a plaque) may be automatically detected, and a prompt may be given. It should be noted that there may be a corresponding lesion detection algorithm or a deep learning AI algorithm.
In an optional embodiment, the simulation module is further configured to perform a simulation process on the initial blood vessel model before performing the blood flow simulation process on the intermediate blood vessel model, so as to obtain an initial blood flow simulation result of the initial blood vessel model.
Optionally, in this embodiment, a fluid dynamics simulation may be performed on the initial blood vessel model to obtain a blood flow reserve fraction FFR, a blood vessel wall shear stress WSS, a blood vessel pressure, and the like of the initial blood vessel model, that is, to obtain a fluid dynamics simulation result of the blood vessel model before treatment.
As can be seen from the above, in the embodiment of the present invention, at least two treatment strategies may be adopted to treat the lesion area of the detected initial blood vessel model, for example, the lesion area may be treated by using a blood vessel stent implantation procedure and a blood vessel bypass surgery, or the lesion area may be treated by using a blood vessel stent implantation procedure, a blood vessel bypass surgery procedure, and a balloon dilatation procedure.
Wherein, in the case of respectively processing the lesion area by adopting two processing strategies of the blood vessel stent implantation and the blood vessel bypass surgery, the interaction module of the simulation system may include: the virtual stent implantation sub-module is used for responding to the interactive instruction and placing the virtual stent in the initial blood vessel model to obtain an intermediate blood vessel model processed by adopting the blood vessel stent implantation; and the bridge blood vessel adding submodule is used for responding to click operation of the initial position and the ending position of the to-be-added bridge blood vessel determined on the basis of focus information and acting on the initial blood vessel model to obtain the intermediate blood vessel model processed by adopting the blood vessel bypass surgery.
In this embodiment, the lesion area is processed by a vascular stent implantation and a vascular bypass to obtain an intermediate blood vessel model processed by the two different processing strategies, so as to facilitate the subsequent comparative analysis of the processing results of the two different processing strategies.
Specifically, the lesion area is processed by using a vascular stent implantation, a suitable virtual stent may be selected according to the feature information of the lesion area, and then the selected virtual stent is placed into the initial vascular model. Processing the focus area by adopting a blood vessel bypass operation, and generating a blood vessel bridge in response to click operation acting on the initial position and the ending position of a bypass blood vessel on an initial blood vessel model; here after the vascular bridge is generated, it can be adjusted as needed.
As can be seen from the above, in the embodiment of the present invention, the detected lesion may be highlighted, and the doctor may operate only on the lesion site, where the processing scheme capable of virtual operation may include, but is not limited to: 1) implanting a virtual stent: the initial vessel model can be simulated to place the vessel stent (i.e. vessel stent implantation), before which, a plurality of stent model choices conforming to the real various stent models need to be provided; 2) virtual blood vessel bypass: the initial blood vessel model can be subjected to simulated bridging, and a doctor manually adds a bridged blood vessel on the original blood vessel model; 3) percutaneous transluminal coronary balloon angioplasty; 4) coronary stent implantation; 5) rotational atherectomy of the coronary arteries; 6) in-coronary-artery thrombus aspiration, a negative-pressure aspiration catheter is used for extracting thrombus in coronary artery; 7) cutting the balloon to perform the procedure.
The percutaneous coronary balloon angioplasty adopts a femoral artery approach or a radial artery approach, a guide catheter is sent to a coronary artery mouth to be dilated, a balloon with a corresponding size is sent to a narrow section along a guide steel wire, and the narrow section is dilated with proper pressure and time according to the characteristics of lesions, so that the purpose of relieving the stenosis is achieved. The coronary artery stent implantation is to place a reticular stent made of stainless steel or alloy material with gaps into the coronary artery at the stage of stenosis to support the vessel wall, maintain the blood flow, generally reduce the elastic retraction of the vessel after PTCA, and seal the interlayer possibly generated by PTCA, thereby greatly reducing the occurrence of acute vessel occlusion in the PTCA operation. The rotational atherectomy is to adopt an olive-shaped rotational atherectomy head with diamond particles to selectively remove fibrotic or calcified arteriosclerotic plaques according to the principle of selective cutting without cutting elastic tissues and normal coronary arteries; is mainly applied to severe stenosis with severe calcification. The suction of thrombus in coronary artery adopts a suction catheter with negative pressure to extract the thrombus in the coronary artery, and is mainly used for thrombotic lesion or great saphenous vein bridge vascular lesion. The cutting balloon angioplasty is to longitudinally install 3-4 micro blades on the balloon, when the balloon begins to expand, the blades cut the hyperplastic tissue at the narrow part of the blood vessel into 3-4 parts, and then the balloon fully expands the diseased part. Is mainly used for the restenosis lesion in a bracket or the lesion mainly comprising fibrous tissue hyperplasia.
In an optional embodiment, the simulation system may further include: a blood flow parameter obtaining module, configured to obtain blood flow indexes corresponding to at least two blood flow simulation results, respectively, where the blood flow indexes include at least one of the following: fractional flow reserve FFR, vascular wall shear stress WSS, vascular pressure; and the evaluation module is used for evaluating at least two processing strategies based on the blood flow index and obtaining an evaluation result.
In addition, the calculation of the hemodynamic index FFR can be based on FFR calculation of fluid dynamics solution, or based on machine learning and deep learning models to obtain an FFR value; the lesion site detection can be automatically carried out according to the medical image or the initial blood vessel model of the patient and is prompted to a user, the lesion site editing processing strategy can be further carried out, and the whole initial blood vessel model can be edited.
In an alternative embodiment, the blood flow indicator may be used to evaluate at least two processing strategies to obtain a processing strategy with a better processing effect of the at least two processing strategies.
That is, in this embodiment, fluid dynamics simulation may be performed on the intermediate blood vessel model after being processed by various processing strategies to obtain relevant parameters (i.e., blood flow indicators) for evaluating blood flow conditions, including but not limited to the following: fractional Flow Reserve (FFR), Wall Shear Stress (WSS), Pressure, Coronary Flow Reserve (CFR), microcirculation Resistance coefficient (IMR), Flow rate, and the simulation results of various treatment strategies are displayed to the physician, for example, the simulation results of different treatment strategies may be displayed in a pseudo-color graph manner on a blood vessel model in different colors to represent different parameter values at different positions.
In an optional embodiment, the simulation system may further determine, based on blood flow indicators corresponding to the at least two blood flow simulation results, a target processing strategy that satisfies a preset condition in the at least two processing strategies.
For example, comparison rules or scoring rules for treatment strategies may be set, with different treatment regimens being scored or compared automatically by the software. For example, the predetermined fractional flow reserve at the distal end of the stenosis of the blood vessel after being processed by at least two different processing strategies is used as a scoring rule, and a larger fractional flow reserve at the distal end of the stenosis of the blood vessel indicates that the processing strategy is better, so that a processing strategy capable of making the fractional flow reserve after being processed at the distal end of the stenosis of the blood vessel larger can be used as an optimal processing strategy.
Specifically, the doctor can select to display different indexes through the interactive interface, including: the blood flow reserve fraction FFR, the vessel wall shear stress WSS, the Pressure, etc., may also be displayed by a pseudo-color chart, and a comparison rule or a scoring rule of the processing strategies may be set, where different processing strategies may be automatically scored or compared by using software.
In an optional embodiment, the simulation system further comprises: and the output module is used for outputting the blood flow simulation result.
For example, in this embodiment, the output module may be utilized to output the results of the analytical processing for different processing strategies for reference by the physician.
The following description will be made by taking a coronary artery of the heart as an example with reference to the accompanying drawings.
Fig. 2 is a schematic diagram of a cardiac coronary artery correlation in a simulation system interface according to an embodiment of the present invention, as shown in fig. 2, a CT angiography image of a cardiac region is shown in an upper left portion of the diagram, and a coronary artery model is shown in an upper right portion of the diagram.
Fig. 3(a) is a simulation interface diagram of a vascular bypass operation according to an embodiment of the present invention, and fig. 3(b) is a simulation interface diagram of a coronary stent implantation according to an embodiment of the present invention, and as shown in fig. 3(a) and fig. 3(b), two treatment strategies of coronary artery implantation and bypass can be compared intuitively and clearly, so as to provide better reference for a doctor to perform subsequent treatment.
In the embodiment of the present invention, the treatment method of the detected lesion region is not limited to the above-described two treatment methods of coronary artery implantation and bypass, and may include one or more of balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty, and in this case, a schematic diagram showing a simulation of the intermediate blood vessel model after one or more of balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty is displayed in a simulation interface diagram in a linked manner.
In summary, with the simulation system provided in the embodiment of the present invention, a medical image of a target object may be obtained by a medical image obtaining module, an initial blood vessel model is obtained by a blood vessel model generating module according to the medical image of the target object, a plurality of processing plans of different processing strategies are obtained by a treatment plan generating module according to an interactive instruction, processed intermediate blood vessel models corresponding to the processing strategies are generated, and a hemodynamic index of a blood vessel processed by each processing strategy is obtained by an analysis processing module according to the processed intermediate blood vessel models corresponding to the processing strategies; and outputting the analysis and processing results of different processing strategies by using an output module for reference of a doctor.
Example 2
In accordance with an embodiment of the present invention, there is provided a method embodiment of a simulation method, it should be noted that, for a simulation system as applied to any one of the above, the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.
Fig. 4 is a flowchart of a simulation method according to an embodiment of the present invention, as shown in fig. 4, the simulation method includes the following steps:
in step S402, an initial blood vessel model of the target object is obtained.
In an optional embodiment, before obtaining the initial vessel model of the target object, the simulation method may further include: acquiring a medical image map of a target object, wherein the medical image map is used for generating an initial blood vessel model; and segmenting the medical image map to obtain a blood vessel image of the target object.
In this embodiment, a medical image (i.e., a medical image map) of the target object may be acquired, which may specifically be: CT images, e.g., different modalities such as CT angiography (CTA), CT perfusion scan (CTP), CT scan plan (NCCT); but also magnetic resonance images, X-ray angiography, molecular imaging, intravascular ultrasound, etc.
Here, a computer image segmentation technique may be utilized to segment the blood vessels in the image, so that an initial blood vessel model or an intermediate blood vessel model of the target object may be constructed through computer geometric modeling.
For example, the medical image of the patient is a medical image of a coronary artery region of the heart, and the medical image may be an image including three-dimensional voxel information obtained by imaging methods including but not limited to CT, nuclear magnetic resonance, and the like, or may be a three-dimensional image obtained by processing and calculating a plurality of different two-dimensional images (e.g., DSA images).
The medical image can be segmented by adopting an image segmentation technology, so that an initial blood vessel model is generated; for example, a neural network-based image segmentation model may be employed to segment the medical image to obtain an initial vessel model; specifically, the medical image may be input to the image segmentation model, and the output of the image segmentation model may be converted into the initial blood vessel model.
In addition, a threshold method can also be adopted to segment the medical image to obtain an initial blood vessel model; specifically, the gray value range of the coronary artery blood vessel can be obtained, all pixel points located in the gray value range are extracted from the medical image, and a set formed by the pixel points is the initial blood vessel model.
Step S404, processing the initial blood vessel model by using at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, where the at least two processing strategies are preset strategies for performing a predetermined operation on the initial blood vessel model.
In this embodiment, the vessel geometric model of the target object may be presented through the interactive interface, and the physician may be allowed to perform simulation operations of more than two different processing strategies on the vessel geometric model.
Here, the at least two treatment strategies are combinations of at least two of the following computer simulation strategies respectively corresponding to the plurality of vascular disease treatment modalities: vascular stent implantation, vascular bypass, balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty.
Step S406, respectively performing blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results, and displaying the at least two blood flow simulation results.
In this embodiment, at least two processing strategies (e.g., a vessel stent implantation procedure and a vessel bypass procedure) may be adopted to process the initial vessel model to obtain an intermediate vessel model after the vessel stent implantation procedure and an intermediate vessel model after the vessel bypass procedure, and the two intermediate models may be displayed in a linkage manner, so that a doctor may visually and clearly compare the results after the vessel stent implantation procedure and the vessel bypass procedure.
Optionally, in the embodiment of the present invention, at least two blood flow simulation results are displayed, and at least two blood flow simulation results may be displayed in a same interface in a comparison manner. Specifically, a user can place or click a mouse on a specific blood vessel position on the blood vessel, and the terminal device (e.g., a computer) can display the FFR of the specific position under various different treatment schemes, so that comparison by a doctor is facilitated.
As can be seen from the above, in the embodiment of the present invention, an initial blood vessel model of the target object may be obtained; processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies used for executing preset operation on the initial blood vessel model; the blood flow simulation processing is respectively carried out on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results, and the at least two blood flow simulation results are displayed, so that the purposes of processing the initial blood vessel models by adopting the at least two processing strategies, simulating and comparing the intermediate blood vessel models obtained by processing are achieved, and the technical effect of intuitively and clearly simulating and comparing various treatment schemes is achieved.
Therefore, the simulation method provided by the embodiment of the invention solves the technical problem that the simulation and comparison of various treatment schemes cannot be carried out on the acquired medical image in the related technology.
In an optional embodiment, the simulation method further includes: analyzing the blood vessel image or the initial blood vessel model to obtain focus information of the target object; the at least two processing strategies are determined in response to the instructions of interaction and based on the instructions of interaction.
In this embodiment, a lesion (occlusion, stenosis, plaque, etc.) position may be automatically detected and a prompt may be given by performing lesion detection on the blood vessel image or the initial blood vessel model, and in particular, processing the medical image or the initial blood vessel model. It should be noted that, there may be a corresponding lesion detection algorithm or a deep learning AI algorithm; then at least two treatment strategies are selected to treat the lesion area.
In an alternative embodiment, before the blood flow simulation process is performed on the intermediate blood vessel model, the simulation system may further include: and carrying out simulation processing on the initial blood vessel model to obtain an initial blood flow simulation result of the initial blood vessel model.
As can be seen from the above, in the embodiment of the present invention, at least two treatment strategies may be adopted to treat the lesion area of the detected initial blood vessel model, for example, the lesion area may be treated by using a blood vessel stent implantation procedure and a blood vessel bypass surgery, or the lesion area may be treated by using a blood vessel stent implantation procedure, a blood vessel bypass surgery procedure, and a balloon dilatation procedure.
Wherein, under the condition that the lesion area is respectively processed by adopting two processing strategies of the blood vessel stent implantation and the blood vessel bypass operation, the processing of the initial blood vessel model by adopting at least two processing strategies comprises the following steps: responding to the interactive instruction, placing the virtual stent in the initial vessel model to obtain an intermediate vessel model processed by adopting a vessel stent implantation; and responding to the click operation of the initial position and the ending position of the to-be-added bridge vessel determined on the initial vessel model based on the lesion information to obtain an intermediate vessel model treated by adopting the vessel bypass surgery.
In this embodiment, the lesion area is processed by a vascular stent implantation and a vascular bypass to obtain an intermediate blood vessel model processed by the two different processing strategies, so as to facilitate the subsequent comparative analysis of the processing results of the two different processing strategies.
Specifically, the lesion area is processed by using a vascular stent implantation, a suitable virtual stent may be selected according to the feature information of the lesion area, and then the selected virtual stent is placed into the initial vascular model. Processing the focus area by adopting a blood vessel bypass operation, and generating a blood vessel bridge in response to click operation acting on the initial position and the ending position of a bypass blood vessel on an initial blood vessel model; here after the vascular bridge is generated, it can be adjusted as needed.
In an alternative embodiment, after obtaining the intermediate blood vessel models corresponding to the at least two processing strategies, the two intermediate blood vessel models may be subjected to blood flow simulation processing to obtain at least two blood flow simulation results, so that the at least two processing strategies can be evaluated.
In an optional embodiment, the simulation method further includes: respectively obtaining blood flow indexes corresponding to at least two blood flow simulation results, wherein the blood flow indexes comprise at least one of the following: fractional flow reserve FFR, vascular wall shear stress WSS, vascular pressure; and evaluating at least two processing strategies based on the blood flow index to obtain an evaluation result.
In addition, in the embodiment of the present invention, the analyzing the blood vessel model processed by at least two processing strategies may include, but is not limited to, the following ways: 1) dividing the segmented blood vessel model into a limited number of fine unit meshes as a pre-step of computational fluid dynamics analysis, then setting boundary conditions for computational analysis of the blood vessel model, and performing analysis calculation by using a Computational Fluid Dynamics (CFD) technology to obtain various fluid dynamics indexes (such as FFR, blood flow rate, blood vessel pressure, blood vessel wall stress and the like) of each position of the blood vessel model; 2) the analysis of the blood vessel model can be absorbed by utilizing a deep learning neural network, specifically, a neural network model can be set up, a large amount of training data is utilized to train the neural network model (the training data can comprise a plurality of blood vessel models and corresponding hemodynamic indexes), a trained AI network model special for the analysis of the blood vessel model is obtained, and the effect of realizing the effect that the AI network model is input into the blood vessel model, so that all hemodynamic indexes of the blood vessel model can be obtained.
In this embodiment, an optimal target processing strategy may be selected from at least two processing strategies by scoring or other rules, so that after the initial vessel model is processed by the optimal target processing strategy, the vessel blood flow approaches the condition under normal conditions.
In summary, according to the simulation method provided by the embodiment of the present invention, after the medical image map of the target object is obtained, the initial blood vessel model of the target object is obtained based on the medical image map, the initial blood vessel model is processed by using at least two processing strategies, and the processed intermediate blood vessel model is obtained, so that the intermediate blood vessel model is subjected to hydromechanical simulation calculation by using a computer, and a plurality of simulation results are displayed in a linkage display manner.
Example 3
According to another aspect of the embodiment of the present invention, there is also provided a simulation apparatus applied to the simulation method of any one of the above, and fig. 5 is a schematic diagram of the simulation apparatus according to the embodiment of the present invention, as shown in fig. 5, the simulation apparatus may include: an acquisition unit 51, a processing unit 53 and a simulation unit 55. The following explains the simulation apparatus.
An obtaining unit 51 for obtaining an initial vessel model of the target object.
The processing unit 53 is configured to process the initial blood vessel model by using at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, where the at least two processing strategies are preset strategies and are used to perform a predetermined operation on the initial blood vessel model.
And the simulation unit 55 is configured to perform blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies, obtain at least two blood flow simulation results, and display the at least two blood flow simulation results.
As can be seen from the above, it should be noted that the above-mentioned acquiring unit 51, processing unit 53 and simulation unit 55 correspond to steps S402 to S406 in embodiment 2, and the above-mentioned units are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure of embodiment 2. It should be noted that the above-described elements as part of an apparatus may be implemented in a computer system, such as a set of computer-executable instructions.
As can be seen from the above, in the above embodiments of the present application, the obtaining unit may be used to obtain an initial blood vessel model of the target object; then, processing the initial blood vessel model by using at least two processing strategies by using a processing unit to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies used for executing preset operation on the initial blood vessel model; and performing blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies by using the simulation unit to obtain at least two blood flow simulation results, and displaying the at least two blood flow simulation results. The simulation system provided by the embodiment of the invention realizes the purposes of processing the initial blood vessel model by adopting at least two processing strategies and simulating the intermediate blood vessel model obtained by processing, achieves the technical effect of simulating and comparing various treatment schemes more intuitively and clearly, and solves the technical problem that the simulation and comparison of various treatment schemes cannot be carried out on the acquired medical image in the related technology.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus in which the computer storage medium is located is controlled to execute the simulation method of any one of the above.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to run a computer program, where the computer program executes a simulation method according to any one of the above methods.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A simulation system, comprising:
a model generation module for generating an initial vessel model of the target object;
an interaction module, configured to process the initial blood vessel model by using at least two processing strategies, and obtain intermediate blood vessel models corresponding to the at least two processing strategies respectively, where the at least two processing strategies are preset strategies and are used to perform a predetermined operation on the initial blood vessel model;
the simulation module is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results;
and the display module is used for displaying the at least two blood flow simulation results.
2. The simulation system of claim 1, wherein the at least two treatment strategies are a combination of at least two of the following computer simulation strategies for the respective plurality of vascular disease treatment modalities: vascular stent implantation, vascular bypass, balloon dilatation, rotational atherectomy, thrombectomy, and cutting balloon angioplasty.
3. The simulation system of claim 1, further comprising:
an image acquisition module for acquiring a medical image map of the target object, wherein the medical image map is used for generating the initial blood vessel model;
and the image segmentation module is used for segmenting the medical image map to obtain a blood vessel image of the target object.
4. The simulation system of claim 3, further comprising:
the image analysis module is used for analyzing the blood vessel image or the initial blood vessel model to obtain focus information of the target object;
and the processing strategy determining module is used for responding to the interactive instruction and determining the at least two processing strategies based on the interactive instruction.
5. The simulation system of claim 1, wherein the simulation module is further configured to perform a simulation process on the initial blood vessel model before performing a blood flow simulation process on the intermediate blood vessel model, so as to obtain an initial blood flow simulation result of the initial blood vessel model.
6. The simulation system of claim 1, wherein the interaction module comprises:
the virtual stent implantation sub-module is used for responding to the interactive instruction and placing a virtual stent in the initial blood vessel model to obtain an intermediate blood vessel model processed by adopting a blood vessel stent implantation operation;
and the bridge blood vessel adding submodule is used for responding to the interactive instruction and adding a virtual bridge blood vessel on the initial blood vessel model to obtain an intermediate blood vessel model processed by adopting a blood vessel bypass operation.
7. The simulation system of claim 1, further comprising:
a blood flow parameter obtaining module, configured to obtain blood flow indexes corresponding to the at least two blood flow simulation results respectively, where the blood flow indexes include at least one of: fractional flow reserve, vessel wall shear stress, vessel pressure, blood flow rate;
and the evaluation module is used for evaluating the at least two processing strategies based on the blood flow index and obtaining an evaluation result.
8. The simulation system of any one of claims 1 to 7, wherein the presentation module presents the at least two blood flow simulation results in comparison at a same interface.
9. A simulation method applied to the simulation system according to any one of claims 1 to 8, comprising:
acquiring an initial blood vessel model of a target object;
processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model;
and respectively carrying out blood flow simulation treatment on the intermediate blood vessel models corresponding to the at least two treatment strategies to obtain at least two blood flow simulation results, and displaying the at least two blood flow simulation results.
10. A simulation apparatus applied to the simulation method according to claim 9, comprising:
an acquisition unit for acquiring an initial blood vessel model of a target object;
the processing unit is used for processing the initial blood vessel model by adopting at least two processing strategies to obtain an intermediate blood vessel model corresponding to the at least two processing strategies, wherein the at least two processing strategies are preset strategies and are used for executing preset operation on the initial blood vessel model;
and the simulation unit is used for respectively carrying out blood flow simulation processing on the intermediate blood vessel models corresponding to the at least two processing strategies to obtain at least two blood flow simulation results and displaying the at least two blood flow simulation results.
11. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed by a processor, controls an apparatus in which the computer storage medium resides to perform the simulation method of claim 9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110150238.2A CN112971979B (en) | 2021-02-03 | 2021-02-03 | Simulation system, simulation method and device |
| PCT/CN2021/137417 WO2022166405A1 (en) | 2021-02-03 | 2021-12-13 | Simulation system, and simulation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110150238.2A CN112971979B (en) | 2021-02-03 | 2021-02-03 | Simulation system, simulation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112971979A true CN112971979A (en) | 2021-06-18 |
| CN112971979B CN112971979B (en) | 2022-08-16 |
Family
ID=76346487
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110150238.2A Active CN112971979B (en) | 2021-02-03 | 2021-02-03 | Simulation system, simulation method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112971979B (en) |
| WO (1) | WO2022166405A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022166405A1 (en) * | 2021-02-03 | 2022-08-11 | 上海杏脉信息科技有限公司 | Simulation system, and simulation method and device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140316758A1 (en) * | 2011-08-26 | 2014-10-23 | EBM Corporation | System for diagnosing bloodflow characteristics, method thereof, and computer software program |
| CN104116563A (en) * | 2014-07-02 | 2014-10-29 | 北京工业大学 | Hemodynamic fast planning method for personalized coronary artery bypass graft surgery |
| US20150269352A1 (en) * | 2014-03-24 | 2015-09-24 | Heartflow, Inc. | Systems and methods for modeling changes in patient-specific blood vessel geometry and boundary conditions |
| CN105013042A (en) * | 2015-07-31 | 2015-11-04 | 中国医科大学附属第一医院 | System for continuously injecting stem cells into minimally-invasive coronary artery blood vessel |
| US20160022371A1 (en) * | 2014-07-22 | 2016-01-28 | Siemens Aktiengesellschaft | Method and System for Automated Therapy Planning for Arterial Stenosis |
| US20160225291A1 (en) * | 2015-01-29 | 2016-08-04 | Infinitt Healthcare Co., Ltd. | System and method for displaying medical images |
| US20170367765A1 (en) * | 2015-02-17 | 2017-12-28 | Yogesh Bathina | Method and system for personalizing a vessel stent |
| CN109064559A (en) * | 2018-05-28 | 2018-12-21 | 杭州阿特瑞科技有限公司 | Vascular flow analogy method and relevant apparatus based on mechanical equation |
| CN110223271A (en) * | 2019-04-30 | 2019-09-10 | 深圳市阅影科技有限公司 | The automatic horizontal collection dividing method and device of blood-vessel image |
| CN110742688A (en) * | 2019-10-30 | 2020-02-04 | 北京理工大学 | Blood vessel model establishing method and device and readable storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107491636B (en) * | 2017-07-26 | 2021-03-16 | 武汉大学 | Cerebrovascular reserve force simulation system and method based on computational fluid dynamics |
| CN112971979B (en) * | 2021-02-03 | 2022-08-16 | 上海友脉科技有限责任公司 | Simulation system, simulation method and device |
-
2021
- 2021-02-03 CN CN202110150238.2A patent/CN112971979B/en active Active
- 2021-12-13 WO PCT/CN2021/137417 patent/WO2022166405A1/en active Application Filing
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140316758A1 (en) * | 2011-08-26 | 2014-10-23 | EBM Corporation | System for diagnosing bloodflow characteristics, method thereof, and computer software program |
| US20150269352A1 (en) * | 2014-03-24 | 2015-09-24 | Heartflow, Inc. | Systems and methods for modeling changes in patient-specific blood vessel geometry and boundary conditions |
| CN104116563A (en) * | 2014-07-02 | 2014-10-29 | 北京工业大学 | Hemodynamic fast planning method for personalized coronary artery bypass graft surgery |
| US20160022371A1 (en) * | 2014-07-22 | 2016-01-28 | Siemens Aktiengesellschaft | Method and System for Automated Therapy Planning for Arterial Stenosis |
| US20160225291A1 (en) * | 2015-01-29 | 2016-08-04 | Infinitt Healthcare Co., Ltd. | System and method for displaying medical images |
| US20170367765A1 (en) * | 2015-02-17 | 2017-12-28 | Yogesh Bathina | Method and system for personalizing a vessel stent |
| CN105013042A (en) * | 2015-07-31 | 2015-11-04 | 中国医科大学附属第一医院 | System for continuously injecting stem cells into minimally-invasive coronary artery blood vessel |
| CN109064559A (en) * | 2018-05-28 | 2018-12-21 | 杭州阿特瑞科技有限公司 | Vascular flow analogy method and relevant apparatus based on mechanical equation |
| CN110223271A (en) * | 2019-04-30 | 2019-09-10 | 深圳市阅影科技有限公司 | The automatic horizontal collection dividing method and device of blood-vessel image |
| CN110742688A (en) * | 2019-10-30 | 2020-02-04 | 北京理工大学 | Blood vessel model establishing method and device and readable storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022166405A1 (en) * | 2021-02-03 | 2022-08-11 | 上海杏脉信息科技有限公司 | Simulation system, and simulation method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112971979B (en) | 2022-08-16 |
| WO2022166405A1 (en) | 2022-08-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6820382B2 (en) | Systems and methods for numerically assessing vasculature | |
| JP6796117B2 (en) | Methods and systems for determining treatment by modifying the patient-specific geometric model | |
| CN108697469B (en) | System and method for intravascular routing of vascular lines, such as catheters | |
| JP6262027B2 (en) | Medical image processing device | |
| CN108511075B (en) | Method and system for non-invasively acquiring fractional flow reserve | |
| US11596384B2 (en) | Intraluminal ultrasound vessel border selection and associated devices, systems, and methods | |
| JP6483270B2 (en) | Touchless advanced image processing and visualization | |
| EP2977922A2 (en) | Method and system for automated therapy planning for arterial stenosis | |
| EP3870063A1 (en) | Intraluminal ultrasound navigation guidance and associated devices, systems, and methods | |
| CN105877767A (en) | Coronary artery image angiography method and device | |
| CN113241183B (en) | Treatment scheme prediction method and device | |
| Karmonik et al. | Computational hemodynamics in the human aorta: a computational fluid dynamics study of three cases with patient-specific geometries and inflow rates | |
| CN112971979B (en) | Simulation system, simulation method and device | |
| CN115003229A (en) | Detection and visualization of intraluminal treatment abnormalities based on intraluminal imaging | |
| Lavi et al. | Single-seeded coronary artery tracking in CT angiography | |
| US8594765B2 (en) | Method for providing an aid for use in the therapeutic treatment of a somatic subject | |
| JP4397177B2 (en) | Organ specific region extraction support apparatus and method | |
| JP7041446B2 (en) | Medical image processing methods, medical image processing equipment and medical image processing systems | |
| WO2023052278A1 (en) | Intraluminal ultrasound vessel segment identification and associated devices, systems, and methods | |
| CN113539516A (en) | Method and device for acquiring effect after application of treatment scheme | |
| JP2019147004A (en) | Medical image processing device, medical image processing method, and recording medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |