CN116030672A - Training scoring method for vascular intervention surgery and application thereof - Google Patents

Training scoring method for vascular intervention surgery and application thereof Download PDF

Info

Publication number
CN116030672A
CN116030672A CN202211729687.3A CN202211729687A CN116030672A CN 116030672 A CN116030672 A CN 116030672A CN 202211729687 A CN202211729687 A CN 202211729687A CN 116030672 A CN116030672 A CN 116030672A
Authority
CN
China
Prior art keywords
catheter
real
training
pose
current position
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.)
Pending
Application number
CN202211729687.3A
Other languages
Chinese (zh)
Inventor
齐鹏
姚天亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tongji University
Original Assignee
Tongji University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tongji University filed Critical Tongji University
Priority to CN202211729687.3A priority Critical patent/CN116030672A/en
Publication of CN116030672A publication Critical patent/CN116030672A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Instructional Devices (AREA)

Abstract

The invention discloses a training scoring method for a vascular intervention operation and application thereof, wherein the method comprises the following steps: after receiving the analog training starting signal, acquiring an intravascular ultrasound signal, catheter posture information and current position information of the catheter through an analog trainer; after preprocessing an intravascular ultrasonic signal, calibrating the catheter pose according to catheter pose information, and comparing the catheter pose with data in the existing data set to obtain a real-time score A of the catheter pose; meanwhile, the current position information of the catheter is processed to obtain the current position of the catheter, and then the current position of the catheter and the target position of the catheter are compared to obtain a real-time score B of the position of the catheter; obtaining a final score C; judging whether the simulation training is completed, if so, terminating, otherwise, returning to the first step. The scoring method for the vascular intervention surgery training can provide quantitative evaluation for the vascular intervention surgery training, provide effective reference for trainees, and help the trainees to improve the surgical skill level of the trainees more quickly.

Description

Training scoring method for vascular intervention surgery and application thereof
Technical Field
The invention relates to the technical field of medical intelligent education, in particular to a training scoring method for a vascular intervention operation and application thereof.
Background
Cardiovascular disease is the first disease in the world. The prevalence rate of cardiovascular diseases in China is also in a continuous rising stage, and the related medical facilities in China are obviously insufficient, so that people can acquire medical resources far from meeting the requirements, and the operation period is long, the high-end talent culture difficulty is high and the period is long due to the complexity and time consuming property of cardiovascular operation.
Cardiovascular intervention operation is an effective method for treating cardiovascular diseases at present, and has the obvious advantages of small trauma, safety, effectiveness, quick postoperative recovery, few complications and the like.
At present, few cardiovascular intervention surgeons can be developed in national cardiovascular departments, the resources of the cardiovascular intervention surgeons are very deficient, and the development of the national cardiovascular intervention surgeons is greatly limited. Thus, training of vascular interventional procedures by a training method for cardiovascular interventional procedures is a very important and urgent problem for practitioners in more relevant fields.
CN 202210904501.7 discloses a training method and system for ophthalmic surgery operation, which performs virtual ophthalmic surgery operation through a virtual reality model, can actually feel the performance of ophthalmic surgery operation through a reality operation module, performs data collection on operation through a motion capture module, and then feeds back to the inside of the virtual reality model through a motion feedback module, wherein in the process of surgery operation, the system randomly selects several emergency situations in ophthalmic surgery to simulate, and evaluates the performance of a user in virtual operation through a background management module. However, the system and the method have little relation with the interventional operation, and do not carry out targeted training on the clinical pain points of the interventional operation.
Therefore, it is of great practical significance to develop a training scoring method for the interventional operation of the pan-blood vessel, which can assist the training of the related staff of the cardiovascular department.
Disclosure of Invention
Because the prior art has the defects, the invention provides the general vascular intervention operation training scoring method which can assist the training of related practitioners in cardiovascular department, the scoring is used as a reference standard in a training system, the scoring can provide effective reference for trainees, and the trainees can be helped to improve the operation skill level of the trainees.
In order to achieve the above object, the present invention provides the following technical solutions:
a method for training and scoring a pan-vascular interventional procedure, comprising the following steps:
(1) After receiving the analog training starting signal, acquiring an intravascular ultrasound signal, catheter posture information and current position information of the catheter through an analog trainer;
(2) After preprocessing an intravascular ultrasonic signal acquired by the simulation trainer, calibrating the catheter pose according to the catheter pose information, and comparing the catheter pose with data in the existing data set to obtain a real-time score A of the catheter pose;
meanwhile, the catheter current position information acquired by the simulation trainer is processed to acquire the catheter current position, and then the catheter current position and the catheter target position (namely the position of the interventional instrument, the position of the pre-calibrated task point and the position of the focus point) are compared to acquire a real-time score B of the catheter position;
(3) Obtaining a final score C according to the following formula, wherein 1 is more than X is more than 0;
C=(1-X)*A+X*B
(4) Judging whether the simulation training is finished or not, if so, terminating, otherwise, returning to the step (1).
The method for scoring the training of the vascular intervention operation evaluates and scores the operation actions and the operation effects of a trainer using the vascular intervention operation simulation trainer, provides references, can provide quantitative evaluation for the vascular intervention operation training, provides effective references for trainees, can help the trainees to improve the operation skill level of the trainees more quickly, can assist the training of related practitioners in cardiovascular department, and has great application prospects.
As a preferable technical scheme:
a method of training scoring for a vascular interventional procedure as described above, the preprocessing comprising segmentation (frame-by-frame segmentation), gray scale processing and mean filtering.
A training scoring method for a vascular interventional procedure as described above, wherein all catheter poses corresponding to all data in the existing dataset are labeled and scored by an expert.
According to the training scoring method for the vascular intervention operation, after the real-time scoring A of the catheter pose is obtained, the related data of the catheter pose and the real-time scoring A are stored into the existing data set to be used as historical data.
According to the training scoring method for the vascular intervention operation, the current position of the catheter and the target position of the catheter are compared to obtain the real-time score B of the position of the catheter, specifically, the absolute value of the difference value of the two space coordinates is calculated, the real-time score B is determined according to the difference value, and the value of the real-time score B is inversely proportional to the absolute value of the difference value.
A method of training scoring for vascular intervention as described above, wherein X is 0.5. Of course, X may be specifically set according to the actual situation, and only one possible technical solution is given here.
According to the training scoring method for the vascular intervention operation, the step (3) further provides real-time comments for the trainee according to the real-time score A and the real-time score B, wherein the real-time comments are given by the expert according to different intervention operation conditions.
The present invention also provides a computer device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores computer readable instructions that when executed by the processor implement the pan vascular intervention training scoring method described above.
In addition, the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores computer readable instructions, and the computer readable instructions realize the training scoring method for the vascular intervention operation when being executed by a processor.
The above technical solution is only one possible technical solution of the present invention, the protection scope of the present invention is not limited thereto, and a person skilled in the art can reasonably adjust the specific design according to the actual requirements.
Said invention has the following advantages or beneficial effects:
(1) The scoring method for the vascular intervention surgery training can provide reliable operation scoring service for vascular intervention trainees, give pertinence comments, and effectively improve the efficiency and pertinence of surgery training;
(2) The scoring method for the training of the vascular intervention operation is based on the catheter posture and the catheter position, and is the two most frequently occurring problems of the vascular intervention operation in clinic;
(3) The training scoring method for the vascular intervention surgery can be used for sampling in real time, and dynamically assigning scores to trainees according to real-time sampling results, so that the trainees can adjust surgery operations according to implementation scores, thereby achieving the purpose of effectively guiding learning, and having great application prospects.
Drawings
The invention and its features, aspects and advantages will become more apparent from the detailed description of non-limiting embodiments with reference to the following drawings. Like numbers refer to like parts throughout. The drawings may not be to scale, emphasis instead being placed upon illustrating the principles of the invention.
FIG. 1 is a scoring flow chart of the training scoring method for the vascular intervention of the present invention;
FIG. 2 is a schematic flow chart of catheter gesture recognition in the method of the invention;
FIG. 3 is a flow chart of the catheter position estimation in the method of the present invention.
Detailed Description
The structure of the present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to limit the invention.
Example 1
A method for training and scoring a pan-vascular interventional procedure, comprising the following steps (as shown in fig. 1):
(1) After receiving the analog training starting signal, acquiring an intravascular ultrasound signal, catheter posture information and current position information of the catheter through an analog trainer;
(2) As shown in fig. 2, after preprocessing (segmentation, gray level processing and mean filtering) is performed on the intravascular ultrasound signals obtained by the analog trainer, the catheter pose is calibrated according to the catheter pose information, the catheter pose is compared with the data in the existing data set (all the catheter poses corresponding to all the data in the existing data set are marked and scored by an expert) to obtain a real-time score a of the catheter pose, and after the real-time score a of the catheter pose is obtained, the related data of the catheter pose and the real-time score a are stored in the existing data set as historical data;
meanwhile, as shown in fig. 3, the catheter current position information obtained by the simulation trainer is processed to obtain the catheter current position, and then the catheter current position and the catheter target position are compared to obtain a real-time score B of the catheter position (the absolute value of the difference value of the two space coordinates is calculated, the real-time score B is determined according to the difference value, and the value of the real-time score B is inversely proportional to the absolute value of the difference value);
(3) Obtaining a final score C according to the following formula, wherein X=0.5, and providing real-time comments for trainees according to the real-time score A and the real-time score B, wherein the real-time comments are given by experts according to different intervention operation conditions;
C=(1-X)*A+X*B
(4) Judging whether the simulation training is finished or not, if so, terminating, otherwise, returning to the step (1).
The operation steps of the training scoring method for the vascular intervention operation are as follows:
the trainee starts to operate the interventional operation training simulator, the pose of the catheter operated by the trainee is collected in real time and compared with a pose data set scored by a professional doctor to obtain a catheter pose score (the trainee moves the catheter when operating the simulator, corresponding intravascular ultrasound images can be obtained according to the movement of the catheter and transmitted to an upper computer for image processing, the ultrasound images are divided frame by frame, and then input frames are subjected to gray processing and mean filtering, so that the catheter pose can be calibrated according to pixel differences, the data set of the system consists of the catheter poses corresponding to marking by an authoritative doctor, the obtained catheter pose and the data set are compared to obtain a corresponding score, and the trainee finally obtains the real-time score of the catheter pose); and the spatial distance difference between the catheter and the interventional instrument and the task point is calculated in real time, so that a real-time score is given (the trainee moves the catheter when operating the simulator, an electromagnetic positioning system in the simulator is started synchronously to acquire the position of the catheter in real time, and meanwhile, after the operation of the trainee is finished, the positioning system also records the position of the corresponding interventional instrument, and the system can calculate and compare the real-time position of the catheter and the position of the interventional instrument with the pre-calibrated task point position and focus point position). The two real-time scores are fed back to the trainee in real time, and the trainee can perform real-time adjustment of the catheter operation according to the real-time scores when performing training operation. When training operation of the trainee is completed, the system generates comprehensive scores of the operation of the trainee according to the proportions of 50% of the attitude scores and 50% of the position scores, and the system intelligently generates corresponding targeted opinions according to the comprehensive scores and the score conditions of the corresponding plates. The real-time scoring method can effectively guide the interventional operation of the trainee, and the given targeted opinion can promote the improvement of the operation skills of the trainee. Therefore, the invention accords with the learning rule of the trainee, can effectively shorten the learning period and reduce the learning difficulty.
Example 2
A computer device, comprising: at least one processor and a memory communicatively coupled to the at least one processor;
wherein the memory stores computer readable instructions that when executed by the processor implement the pan vascular intervention training scoring method as described in embodiment 1.
Example 3
A computer readable storage medium having computer readable instructions stored thereon, which when executed by a processor, implement the method of pan vascular interventional procedure training scoring as described in embodiment 1.
The above functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform 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 removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, randomAccess Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those skilled in the art will understand that the skilled person can implement the modification in combination with the prior art and the above embodiments, and this will not be repeated here. Such modifications do not affect the essence of the present invention, and are not described herein.
The preferred embodiments of the present invention have been described above. It is to be understood that the invention is not limited to the specific embodiments described above, wherein devices and structures not described in detail are to be understood as being implemented in a manner common in the art; any person skilled in the art can make many possible variations and modifications to the technical solution of the present invention or modifications to equivalent embodiments without departing from the scope of the technical solution of the present invention, using the methods and technical contents disclosed above, without affecting the essential content of the present invention. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.

Claims (9)

1. A training scoring method for a vascular intervention operation is characterized in that: the method comprises the following steps:
(1) After receiving the analog training starting signal, acquiring an intravascular ultrasound signal, catheter posture information and current position information of the catheter through an analog trainer;
(2) After preprocessing an intravascular ultrasonic signal acquired by the simulation trainer, calibrating the catheter pose according to the catheter pose information, and comparing the catheter pose with data in the existing data set to obtain a real-time score A of the catheter pose;
meanwhile, the current position information of the catheter obtained by the simulation trainer is processed to obtain the current position of the catheter, and then the current position of the catheter and the target position of the catheter are compared to obtain a real-time score B of the position of the catheter;
(3) Obtaining a final score C according to the following formula, wherein 1 is more than X is more than 0;
C=(1-X)*A+X*B
(4) Judging whether the simulation training is finished or not, if so, terminating, otherwise, returning to the step (1).
2. The method of claim 1, wherein the preprocessing includes segmentation, gray scale processing and mean filtering.
3. A method of training scoring for a vascular interventional procedure as defined in claim 1, wherein all catheter poses corresponding to all data in the existing dataset are labeled and scored by an expert.
4. A method of training scoring for a vascular interventional procedure as defined in claim 3, wherein the real-time score a of the catheter pose is obtained and the relevant data of the catheter pose and the real-time score a are stored in the existing dataset as historical data.
5. The method for scoring a training for a vascular interventional procedure according to claim 1, wherein comparing the current position of the catheter with the target position of the catheter to obtain a real-time score B of the catheter position is specifically to calculate an absolute value of a difference between two spatial coordinates, determine the real-time score B according to the difference, and the value of the real-time score B is inversely proportional to the absolute value of the difference.
6. The method of claim 1, wherein X is 0.5.
7. The method of training scoring for a vascular interventional procedure according to claim 1, wherein step (3) further provides real-time comments to the trainee based on the real-time score a and the real-time score B, wherein the real-time comments are given by the expert based on different interventional procedure conditions.
8. A computer device, characterized by: the computer device includes:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores computer readable instructions that when executed by the processor implement the method of training scoring for vascular interventional procedures of any one of claims 1-7.
9. A computer-readable storage medium, characterized by: the computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the pan vascular intervention training scoring method of any one of claims 1 to 7.
CN202211729687.3A 2022-12-30 2022-12-30 Training scoring method for vascular intervention surgery and application thereof Pending CN116030672A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211729687.3A CN116030672A (en) 2022-12-30 2022-12-30 Training scoring method for vascular intervention surgery and application thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211729687.3A CN116030672A (en) 2022-12-30 2022-12-30 Training scoring method for vascular intervention surgery and application thereof

Publications (1)

Publication Number Publication Date
CN116030672A true CN116030672A (en) 2023-04-28

Family

ID=86075575

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211729687.3A Pending CN116030672A (en) 2022-12-30 2022-12-30 Training scoring method for vascular intervention surgery and application thereof

Country Status (1)

Country Link
CN (1) CN116030672A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080171934A1 (en) * 2007-01-12 2008-07-17 Medtronic Vascular, Inc. Vessel Position and Configuration Imaging Apparatus and Methods
JP2016057451A (en) * 2014-09-09 2016-04-21 テルモ株式会社 Training device
CN107148293A (en) * 2014-10-31 2017-09-08 西瑞维斯克有限责任公司 For treating hydrocephalic method and system
US20180366035A1 (en) * 2017-06-20 2018-12-20 Ezono Ag System and method for image-guided procedure analysis and training
CN115300750A (en) * 2022-07-28 2022-11-08 同济大学 Intelligent PCI (peripheral component interconnect) surgical catheter, and control system and control method thereof
CN115457008A (en) * 2022-09-23 2022-12-09 艾瑞迈迪医疗科技(北京)有限公司 Real-time abdominal puncture virtual simulation training method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080171934A1 (en) * 2007-01-12 2008-07-17 Medtronic Vascular, Inc. Vessel Position and Configuration Imaging Apparatus and Methods
JP2016057451A (en) * 2014-09-09 2016-04-21 テルモ株式会社 Training device
CN107148293A (en) * 2014-10-31 2017-09-08 西瑞维斯克有限责任公司 For treating hydrocephalic method and system
US20180366035A1 (en) * 2017-06-20 2018-12-20 Ezono Ag System and method for image-guided procedure analysis and training
CN115300750A (en) * 2022-07-28 2022-11-08 同济大学 Intelligent PCI (peripheral component interconnect) surgical catheter, and control system and control method thereof
CN115457008A (en) * 2022-09-23 2022-12-09 艾瑞迈迪医疗科技(北京)有限公司 Real-time abdominal puncture virtual simulation training method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周国敬等: "基于图像识别的血管介入器械追踪方法", 《北京生物医学工程》, vol. 41, no. 01, 15 February 2022 (2022-02-15), pages 90 - 96 *

Similar Documents

Publication Publication Date Title
CN111161290B (en) Image segmentation model construction method, image segmentation method and image segmentation system
TW202025137A (en) Image processing method and apparatus, electronic device, and computer readable storage medium
KR20190100011A (en) Method and apparatus for providing surgical information using surgical video
Rolls et al. A pilot study of video-motion analysis in endovascular surgery: development of real-time discriminatory skill metrics
CN111986211A (en) Deep learning-based ophthalmic ultrasonic automatic screening method and system
WO2016083826A1 (en) Facial exercise system
Dempere-Marco et al. The use of visual search for knowledge gathering in image decision support
CN113703574A (en) VR medical learning method and system based on 5G
Wang et al. Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning
CN116778771A (en) First aid training and checking system
CN116229793A (en) Training and checking system based on virtual reality technology
CN113313359A (en) Evaluation method and device for image labeling diagnosis quality
CN116030672A (en) Training scoring method for vascular intervention surgery and application thereof
CN116059600B (en) Rehabilitation training device, training method and evaluation system based on interactive projection
CN116704603A (en) Action evaluation correction method and system based on limb key point analysis
CN115116087A (en) Action assessment method, system, storage medium and electronic equipment
Gonzalez-Romo et al. Quantification of motion during microvascular anastomosis simulation using machine learning hand detection
CN111540379B (en) Clinical training system and method
CN114170177A (en) Operation path analysis method and storage medium
CN113392744A (en) Dance motion aesthetic feeling confirmation method and device, electronic equipment and storage medium
CN111383212A (en) Method for analyzing ultrasonic video image of pelvic floor
Annand et al. Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory Practice.
CN117058405B (en) Image-based emotion recognition method, system, storage medium and terminal
JP2019107453A (en) Image processing apparatus and image processing method
US20230380740A1 (en) Sensor-based training intervention

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