CN110992762A - Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method - Google Patents
Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method Download PDFInfo
- Publication number
- CN110992762A CN110992762A CN201911410710.0A CN201911410710A CN110992762A CN 110992762 A CN110992762 A CN 110992762A CN 201911410710 A CN201911410710 A CN 201911410710A CN 110992762 A CN110992762 A CN 110992762A
- Authority
- CN
- China
- Prior art keywords
- teaching
- experiment
- layer
- correct
- virtual
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Abstract
The invention discloses a radiation therapy body position fixing and treatment implementation virtual simulation teaching experimental method. The virtual simulation teaching experiment comprises an application framework and a platform framework, wherein the platform framework is a rear end framework of the application framework, the application framework comprises an application layer and a general layer, the application layer is used for scene construction and character construction and is applied to virtual equipment and a virtual environment, and the general layer is used for theoretical knowledge learning, experiment teaching management, experiment resource management, teaching interactive communication, intelligent error correction guidance, experiment result correction, experiment report management and teaching effect evaluation. The off-line and on-line two teaching modes are adopted, three teaching links of classroom teaching, practical training teaching and post-lesson pre-study review are involved, technical means such as three-dimensional modeling, 3D printing, virtual reality, augmented reality, artificial intelligence, big data and the like are introduced, the principle of real and non-virtual performance is adhered to, and radiotherapy high-quality digital education resources and a co-construction shared environment are built.
Description
Technical Field
The invention relates to a radiation therapy posture fixing and therapy implementation virtual simulation teaching experimental method.
Background
The course of radiation therapy technology mainly teaches how to apply radiotherapy equipment and auxiliary devices to learn the body position fixing, simulated positioning, treatment plan making and treatment implementation of patients, and the contents of health education, psychological intervention and the like of the patients, and lays a foundation for students to engage in the work post of radiotherapy operators.
The "radiotherapy technology" and "radiotherapy technology" are the core professional lessons of the medical imaging technology specialty, and students need to learn not only theoretical knowledge but also 24 clinical experiences and 6 weeks clinical practice. But because the devices such as the electron linear accelerator (2000 ten thousand per platform), the wave-shooting knife (4000 ten thousand per platform) and the like are very expensive and have extremely high utilization rate, the device meets the requirement that the patient is treated and used to catch the elbow. At present, teaching is mainly carried out in ways of teaching materials, slides, videos and the like; the practice of students can only realize cognitive training and simple practical training such as patient positioning without involving expensive equipment operation. Students cannot personally place themselves in their environment or simulate the whole process of radiotherapy, and the use and performance of radiotherapy equipment are mastered very little; the teaching can only give fish instead of fish.
The necessity of medical imaging technology professional students for practical training and professional skill mastering is contradicted with the reality of resource shortage and inaccessibility of hospital practice bases, and no related principle equipment is available for purchasing of colleges and universities for teaching practical training in the market, so that the improvement of the practical ability of the students and the mastering of the professional skills are greatly influenced.
Disclosure of Invention
The invention aims to provide a radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment, which adopts two teaching modes of off-line and on-line, relates to three teaching links of classroom teaching, practical training teaching and post-session pre-study review, introduces the technical means of three-dimensional modeling, 3D printing, virtual reality, augmented reality, artificial intelligence, big data and the like, adheres to the principle of real and non-virtual, and builds radiotherapy high-quality digital education resources and co-construction shared environment.
The above purpose is realized by the following technical scheme:
a radiotherapy posture fixation and treatment implementation virtual simulation teaching experiment comprises an application framework and a platform framework, wherein the platform framework is a rear end framework of the application framework, the application framework comprises an application layer and a general layer, the application layer is used for scene construction and character construction and is applied to virtual equipment and a virtual environment, and the general layer is used for theoretical knowledge learning, experiment teaching management, experiment resource management, teaching interactive communication, intelligent error correction guidance, experiment result correction, experiment report management and teaching effect evaluation;
the platform architecture comprises a network layer, a supporting layer and a data layer, wherein the network layer is used for encrypting and managing data and connecting, an authentication module of the supporting layer is used for authenticating user identity and controlling link access, a data management module of the supporting layer is used for controlling data access and caching data, a service logic module of the supporting layer is used for guiding learning logic and assessing and evaluating logic, and the data layer of the data layer is used for storing all data and comprises a user information database, a three-dimensional model database, a test question database, a standard answer database and a scoring table database.
Further, the experimental method comprises the following steps:
step 1.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 1.2: entering a teaching mode, simultaneously displaying a menu bar, a learning bar and a prompt bar, and then importing cases;
step 1.3: selecting a fitting body frame according to the treatment part of the patient, giving a prompt to continue to select if the selection is wrong, and entering the next step if the selection is correct;
step 1.4: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 1.5: checking X, Y, Z direction positions of the laser lamp and the patient treatment center, if correct three directions are not checked simultaneously, triggering the continuous display of the moving button until the moving button moves to the correct position, and giving correct prompt and selecting an image acquisition mode by the system;
step 1.6: the image acquisition mode comprises EPID, IGPS and CBCT, and image acquisition and image registration are carried out after one of the EPID, the IGPS and the CBCT is selected;
step 1.7: automatically identifying a result, judging whether the registration result is within a preset error range according to a preset judgment standard, if not, moving the treatment couch for correction, and if so, performing the next step;
step 1.8: carrying out treatment;
step 1.9: and after the treatment is finished, performing error animation display.
Further, the experimental method comprises the following steps:
step 2.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 2.2: entering an assessment mode, displaying a menu bar, a return key and a prompt bar at the same time, and then importing cases;
step 2.3: step selection of examination questions is carried out after the cases are imported;
step 2.4: entering examination and selecting questions;
step 2.5: selecting a body frame, if the selection is wrong, giving a prompt to continue the selection, and if the selection is correct, entering the next step;
step 2.6: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 2.7: checking the position of X, Y, Z axis direction of patient, if not checking correct three directions at the same time, triggering the mobile button to exist continuously, unable to proceed next step, until moving to correct position, if checking correct three directions at the same time, the system gives out voice and hooking prompt, appearing image acquisition mode selection;
step 2.8: the image acquisition mode comprises EPID, IGPS and CBCT, and the blank filling examination is carried out after one of the EPID, the IGPS and the CBCT is selected;
step 2.9: after the examination of the filling-up questions is finished, the examination of the logic questions is carried out;
step 2.10: and generating an experimental report after the treatment animation display of the corresponding selection result.
Further, the case import is realized by realizing a virtual teaching scene by using 3D modeling, animation scene and voice coordination.
Further, the image acquisition mode EPID machine frames of 0 degree and 90 degrees rotate to acquire images, and a scene is optimized by modeling.
Further, the image acquisition mode IGPS alternately acquires the image position; the IGPS is composed of two groups of image acquisition devices which are respectively positioned at the angles of 45 degrees and 135 degrees of the equipment and comprise an image receiving plate which emits rays and crosses the rays on the ground; when the image is obtained, the two upper ray sources emit rays, the rays intersect the image receiving plates at the opposite angles to obtain rays penetrating through the human body, and an image is formed.
Further, the image acquisition mode CBCT acquires an image based on 360 ° rotation of the 360 ° observation gantry.
Further, the image configuration of the logic problem in the step 2.9 is divided into two dimensions and three dimensions.
Furthermore, the selection questions, the gap filling questions and the logic questions of the assessment mode are all selected from an assessment question library.
Has the advantages that:
1. the scheme design flow of the invention is respectively designed according to the important and difficult points of the teaching outline, thereby meeting the learning requirements of students and exciting the learning interests of the students.
2. The logic judgment of the invention adopts IF, ELSE, UNTILL and other sentences, and the system can quickly judge the result according to the selection of the user.
3. According to the invention, the virtual scene, the equipment and the character are constructed by adopting 3D modeling, the simulation similarity reaches 90%, the user experience is good, and the teaching mode of assisting or replacing the scene on the spot to a large extent is achieved.
4. The software of the invention can be used under the off-line condition, can be conveniently used by users at any time and any place, and the system has the memory function, can quit the storage, can continue the learning after entering again, and fully enables the users to use the fragmentation time to learn.
Drawings
Fig. 1 is a schematic structural view of the present invention.
FIG. 2 is a schematic flow diagram of the present invention.
Fig. 3 is a learning flow diagram of the present invention.
FIG. 4 is a flow chart of assessment of the present invention.
Detailed Description
The following description is not intended to limit the present invention, and the present invention is not limited to the following examples, and variations, modifications, additions and substitutions which may be made by those skilled in the art within the spirit of the present invention are within the scope of the present invention.
A radiotherapy posture fixation and treatment implementation virtual simulation teaching experiment comprises an application framework and a platform framework, wherein the platform framework is a rear end framework of the application framework, the application framework comprises an application layer and a general layer, the application layer is used for scene construction and character construction and is applied to virtual equipment and a virtual environment, and the general layer is used for theoretical knowledge learning, experiment teaching management, experiment resource management, teaching interactive communication, intelligent error correction guidance, experiment result correction, experiment report management and teaching effect evaluation;
the platform architecture comprises a network layer, a supporting layer and a data layer, wherein the network layer is used for encrypting and managing data and connecting, an authentication module of the supporting layer is used for authenticating user identity and controlling link access, a data management module of the supporting layer is used for controlling data access and caching data, a service logic module of the supporting layer is used for guiding learning logic and assessing and evaluating logic, and the data layer of the data layer is used for storing all data and comprises a user information database, a three-dimensional model database, a test question database, a standard answer database and a scoring table database.
The application layer realizes modeling and visualization of teaching logic formed by the universal layer, the modeling part realizes construction of scenes and characters based on tools such as 3dsmax, the visualization part realizes virtual equipment and virtual environment based on tools such as u3d, and the realized virtual scenes and characters are observed.
The universal layer realizes teaching logics including theoretical knowledge learning, experiment teaching management, experiment resource management, teaching interactive communication, intelligent error correction guidance, experiment result correction, experiment report management and teaching effect evaluation.
The network layer realizes the pipeline between the data and the application, and performs data encryption and connection management.
The support layer realizes the authentication, data management and service logic of the user. The authentication module performs user identity authentication and link access control, the data management module performs data access control and data caching, and the business logic module realizes guide learning logic and assessment logic.
The data layer stores all data, including a user information database, a three-dimensional model database, a test question database, a standard answer database and a scoring table database.
Further, the experimental method comprises the following steps:
step 1.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 1.2: entering a teaching mode, simultaneously displaying a menu bar, a learning bar and a prompt bar, and then importing cases;
step 1.3: selecting a fitting body frame according to the treatment part of the patient, giving a prompt to continue to select if the selection is wrong, and entering the next step if the selection is correct;
step 1.4: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 1.5: checking X, Y, Z direction positions of the laser lamp and the patient treatment center, if correct three directions are not checked simultaneously, triggering the continuous display of the moving button until the moving button moves to the correct position, and giving correct prompt and selecting an image acquisition mode by the system;
step 1.6: the image acquisition mode comprises EPID, IGPS and CBCT, and image acquisition and image registration are carried out after one of the EPID, the IGPS and the CBCT is selected;
step 1.7: automatically identifying a result, judging whether the registration result is within a preset error range according to a preset judgment standard, if not, moving the treatment couch for correction, and if so, performing the next step;
step 1.8: carrying out treatment;
step 1.9: and after the treatment is finished, performing error animation display.
Further, the experimental method comprises the following steps:
step 2.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 2.2: entering an assessment mode, displaying a menu bar, a return key and a prompt bar at the same time, and then importing cases;
step 2.3: step selection of examination questions is carried out after the cases are imported;
step 2.4: entering examination and selecting questions;
step 2.5: selecting a body frame, if the selection is wrong, giving a prompt to continue the selection, and if the selection is correct, entering the next step;
step 2.6: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 2.7: checking the position of X, Y, Z axis direction of patient, if not checking correct three directions at the same time, triggering the mobile button to exist continuously, unable to proceed next step, until moving to correct position, if checking correct three directions at the same time, the system gives out voice and hooking prompt, appearing image acquisition mode selection;
step 2.8: the image acquisition mode comprises EPID, IGPS and CBCT, and the blank filling examination is carried out after one of the EPID, the IGPS and the CBCT is selected; the image-text forms coexist, the user fills in answers by using a character recognition technology, the system automatically recognizes and gives feedback, and the correct image-text forms are displayed in green, and the wrong image-text forms are displayed in red.
Step 2.9: after the examination of the filling-up questions is finished, the examination of the logic questions is carried out; different interference items are set for the logic questions, one or more correct answers exist, the next step cannot be carried out if the correct answers are selected according to the question prompts, and the next step can be carried out only if the correct answers are selected;
step 2.10: and generating an experimental report after the treatment animation display of the corresponding selection result.
The experimental score is 80% learning score + 20% assessment score.
And (5) commenting and giving suggestions aiming at the weak links of the examinees.
Further, the case import is realized by realizing a virtual teaching scene by using 3D modeling, animation scene and voice coordination.
Further, the 0 ° and 90 ° gantry rotations of the image acquisition modality EPID acquire images.
Further, the image acquisition mode IGPS alternately acquires the image positions. The IGPS consists of two image acquisition devices, which are respectively positioned at 45-degree and 135-degree angles of the equipment and comprise a ray emitting plate and an image receiving plate which is intersected with the ray emitting plate on the ground. When the image is obtained, the two upper ray sources emit rays, the rays intersect the image receiving plates at the opposite angles to obtain rays penetrating through the human body, and an image is formed.
Further, the image acquisition mode CBCT acquires an image based on 360 ° rotation of the 360 ° observation gantry.
Further, the image configuration of the logic problem in the step 2.9 is divided into two dimensions and three dimensions.
The image configuration is selected according to needs, the contrast, the transparency and the like can be adjusted to observe and configure the image, the computer gives an error value according to the image characteristics, the system judges the error value according to a preset error value standard to obtain a judgment result, and the user selects whether to treat the patient according to the result.
Furthermore, the selection questions, the gap filling questions and the logic questions of the assessment mode are all selected from an assessment question library.
The examination question library is provided with 200 and 1000 questions, 10-30 questions are randomly given, and scores and answers are given after all the questions are answered.
Claims (9)
1. A radiotherapy posture fixation and treatment implementation virtual simulation teaching experiment is characterized in that the virtual simulation teaching experiment comprises an application framework and a platform framework, the platform framework is a rear end framework of the application framework, the application framework comprises an application layer and a general layer, the application layer is used for scene construction and character construction, and is applied to virtual equipment and a virtual environment, and the general layer is used for theoretical knowledge learning, experiment teaching management, experiment resource management, teaching interaction communication, intelligent error correction guidance, experiment result correction, experiment report management and teaching effect evaluation;
the platform architecture comprises a network layer, a supporting layer and a data layer, wherein the network layer is used for encrypting and managing data and connecting, an authentication module of the supporting layer is used for authenticating user identity and controlling link access, a data management module of the supporting layer is used for controlling data access and caching data, a service logic module of the supporting layer is used for guiding learning logic and assessing and evaluating logic, and the data layer of the data layer is used for storing all data and comprises a user information database, a three-dimensional model database, a test question database, a standard answer database and a scoring table database.
2. The experimental method for virtual simulation teaching experiments according to claim 1, wherein the experimental method comprises the following steps:
step 1.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 1.2: entering a teaching mode, simultaneously displaying a menu bar, a learning bar and a prompt bar, and then importing cases;
step 1.3: selecting a fitting body frame according to the treatment part of the patient, giving a prompt to continue to select if the selection is wrong, and entering the next step if the selection is correct;
step 1.4: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 1.5: checking X, Y, Z direction positions of the laser lamp and the patient treatment center, if correct three directions are not checked simultaneously, triggering the continuous display of the moving button until the moving button moves to the correct position, and giving correct prompt and selecting an image acquisition mode by the system;
step 1.6: the image acquisition mode comprises EPID, IGPS and CBCT, and image acquisition and image registration are carried out after one of the EPID, the IGPS and the CBCT is selected;
step 1.7: automatically identifying a result, judging whether the registration result is within a preset error range according to a preset judgment standard, if not, moving the treatment couch for correction, and if so, performing the next step;
step 1.8: carrying out treatment;
step 1.9: and after the treatment is finished, performing error animation display.
3. The experimental method for virtual simulation teaching experiments according to claim 1, wherein the experimental method comprises the following steps:
step 2.1: after logging in, a user generates notes, experiment brief introduction and an experiment principle, and clicks 'understanding' to enter an experiment;
step 2.2: entering an assessment mode, displaying a menu bar, a return key and a prompt bar at the same time, and then importing cases;
step 2.3: step selection of examination questions is carried out after the cases are imported;
step 2.4: entering examination and selecting questions;
step 2.5: selecting a body frame, if the selection is wrong, giving a prompt to continue the selection, and if the selection is correct, entering the next step;
step 2.6: correcting the body positions of the patient, if less than three wrong body positions are found, namely all wrong body positions are not found, continuing to correct the body positions of the patient, and if all the three wrong body positions are found, carrying out the next step;
step 2.7: checking the position of X, Y, Z axis direction of patient, if not checking correct three directions at the same time, triggering the mobile button to exist continuously, unable to proceed next step, until moving to correct position, if checking correct three directions at the same time, the system gives out voice and hooking prompt, appearing image acquisition mode selection;
step 2.8: the image acquisition mode comprises EPID, IGPS and CBCT, and the blank filling examination is carried out after one of the EPID, the IGPS and the CBCT is selected;
step 2.9: after the examination of the filling-up questions is finished, the examination of the logic questions is carried out;
step 2.10: and generating an experimental report after the treatment animation display of the corresponding selection result.
4. The experimental method of claim 2 or 3, wherein the case introduction is specifically realized by using 3D modeling, animation scenes and voice coordination to realize virtual teaching scenes.
5. The experimental method of claim 3, wherein the 0 ° and 90 ° gantry rotations of the image acquisition modality EPID acquire images, optimizing the scene using modeling.
6. The experimental method according to claim 3, wherein the image acquisition mode IGPS cross-acquires image positions; the IGPS is composed of two groups of image acquisition devices which are respectively positioned at the angles of 45 degrees and 135 degrees of the equipment and comprise an image receiving plate which emits rays and crosses the rays on the ground; when the image is obtained, the two upper ray sources emit rays, the rays intersect the image receiving plates at the opposite angles to obtain rays penetrating through the human body, and an image is formed.
7. The experimental method as claimed in claim 3, wherein said image acquisition mode CBCT acquires images based on 360 ° of rotation of a 360 ° observation gantry.
8. The experimental method according to claim 3, characterized in that the image configuration of the logic topic in step 2.9 is divided into two and three dimensions.
9. The experimental method as claimed in claim 3, wherein the selection questions, the gap filling questions and the logic questions of the assessment mode are all selected from the assessment question bank.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911410710.0A CN110992762A (en) | 2019-12-31 | 2019-12-31 | Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911410710.0A CN110992762A (en) | 2019-12-31 | 2019-12-31 | Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110992762A true CN110992762A (en) | 2020-04-10 |
Family
ID=70079705
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911410710.0A Pending CN110992762A (en) | 2019-12-31 | 2019-12-31 | Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110992762A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113744609A (en) * | 2021-05-18 | 2021-12-03 | 温州医科大学 | Virtual simulation experiment system based on pharmacokinetics and applied clinically and accurately to metoprolol |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060281063A1 (en) * | 2005-06-13 | 2006-12-14 | Mcclain Lolita A | Interactive Radiological sciences clinical training system |
| CN101506859A (en) * | 2006-07-12 | 2009-08-12 | 医疗网络世界公司 | Computerized medical training system |
| CN103493055A (en) * | 2010-11-18 | 2014-01-01 | 马萨科学英国有限公司 | System and method |
| CN105336233A (en) * | 2015-11-24 | 2016-02-17 | 华中科技大学 | Virtual simulation teaching application platform |
| CN106847035A (en) * | 2017-03-27 | 2017-06-13 | 北京全域医疗技术有限公司 | Learning method, device and system based on equipment simulating |
| CN108648553A (en) * | 2018-07-13 | 2018-10-12 | 广州医科大学附属肿瘤医院 | The operating system and method for radiotherapy physics teacher's Training and Learning are used for based on virtual reality |
| CN108831235A (en) * | 2018-06-12 | 2018-11-16 | 苏州敏行医学信息技术有限公司 | Virtual medical imaging training method and medical imaging training system |
-
2019
- 2019-12-31 CN CN201911410710.0A patent/CN110992762A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060281063A1 (en) * | 2005-06-13 | 2006-12-14 | Mcclain Lolita A | Interactive Radiological sciences clinical training system |
| CN101506859A (en) * | 2006-07-12 | 2009-08-12 | 医疗网络世界公司 | Computerized medical training system |
| CN103493055A (en) * | 2010-11-18 | 2014-01-01 | 马萨科学英国有限公司 | System and method |
| CN105336233A (en) * | 2015-11-24 | 2016-02-17 | 华中科技大学 | Virtual simulation teaching application platform |
| CN106847035A (en) * | 2017-03-27 | 2017-06-13 | 北京全域医疗技术有限公司 | Learning method, device and system based on equipment simulating |
| CN108831235A (en) * | 2018-06-12 | 2018-11-16 | 苏州敏行医学信息技术有限公司 | Virtual medical imaging training method and medical imaging training system |
| CN108648553A (en) * | 2018-07-13 | 2018-10-12 | 广州医科大学附属肿瘤医院 | The operating system and method for radiotherapy physics teacher's Training and Learning are used for based on virtual reality |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113744609A (en) * | 2021-05-18 | 2021-12-03 | 温州医科大学 | Virtual simulation experiment system based on pharmacokinetics and applied clinically and accurately to metoprolol |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bridge et al. | The development and evaluation of a virtual radiotherapy treatment machine using an immersive visualisation environment | |
| US6739877B2 (en) | Distributive processing simulation method and system for training healthcare teams | |
| Burckett‐St. Laurent et al. | Teaching ultrasound‐guided regional anesthesia remotely: a feasibility study | |
| Wu et al. | Virtual simulation in undergraduate medical education: a scoping review of recent practice | |
| Zafar et al. | Pedagogical development in local anaesthetic training in paediatric dentistry using virtual reality simulator | |
| Jansen | The benefits of simulation-based education | |
| Moore et al. | Exploring user needs in the development of a virtual reality–based advanced life support training platform: exploratory usability study | |
| Lewiss et al. | SonoGames: an innovative approach to emergency medicine resident ultrasound education | |
| Mesko et al. | Development, implementation, and outcomes of a simulation-based medical education (SBME) prostate brachytherapy workshop for radiation oncology residents | |
| Hellaby | Healthcare simulation in practice | |
| Forrest et al. | Healthcare simulation at a glance | |
| CN110992762A (en) | Radiotherapy body position fixing and treatment implementation virtual simulation teaching experiment method | |
| Katzman et al. | Case report: A novel model for educating radiation therapists in small countries: Case study of the “Train the Trainer” initiative in Israel | |
| Nunes et al. | The virtual reality challenges in the health care area: a panoramic view | |
| Magerko et al. | Dr. Vicky: A virtual coach for learning brief negotiated interview techniques for treating emergency room patients | |
| Douglas et al. | Exploiting emerging video annotation technology and industry engagement to authentically prepare students for the complex world of work | |
| Sadid‐Zadeh et al. | Students’ perception of 3D video microscope use in preclinical fixed prosthodontics: A comparative study | |
| Phillips et al. | A hybrid virtual environment for training of radiotherapy treatment of cancer. | |
| Thoirs et al. | Use of simulated learning environments in radiation science curricula | |
| Schinman et al. | Incorporating VERT Technology Into the Radiation Therapy Classroom: A Case Study. | |
| Thrift | Nursing Student Perceptions of Presence in a Virtual Learning Environment: A Qualitative Description Study | |
| Tzamaras et al. | Fun and Games: Designing a Gamified Central Venous Catheterization Training Simulator | |
| Gunn | The impact of virtual reality training on the clinical skill and confidence of medical radiation science students | |
| Kaledio et al. | Enhancing Airway Management Through 3D Visualization and Virtual Environments | |
| Yang et al. | A Review of Current Situation of Ultrasound Guided Nerve Block in Anesthesiologists’ Skill Training |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200410 |