WO2023181072A1 - Système numérique et outil 3d pour l'entraînement et la consultation médicale en ophtalmologie - Google Patents
Système numérique et outil 3d pour l'entraînement et la consultation médicale en ophtalmologie Download PDFInfo
- Publication number
- WO2023181072A1 WO2023181072A1 PCT/IN2023/050277 IN2023050277W WO2023181072A1 WO 2023181072 A1 WO2023181072 A1 WO 2023181072A1 IN 2023050277 W IN2023050277 W IN 2023050277W WO 2023181072 A1 WO2023181072 A1 WO 2023181072A1
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- eye
- models
- ophthalmology
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- training
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Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
-
- 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
- G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
- G09B23/28—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine
- G09B23/30—Anatomical models
Definitions
- the dissection of the human eye is an impractical method to teach the human eye anatomy to students.
- the eye itself is a small organ, which has extremely tiny microscopic structures, some of which cannot even be made visible to teach the students. For example (The Trabecular Meshwork).
- a system and method are provided for generating a three-dimensional (3D) model of an anatomical structure of a patient using a plurality of two dimensional (2D) images acquired using a camera.
- the method includes the operation of searching the plurality of 2D images to detect correspondence points of image features across at least two images.
- Camera motion parameters can be determined using the correspondence points for a sequence of at least two images taken at different locations by the camera moving within the internal anatomical structure.
- a further operation is computing dense stereo maps for 2D image pairs that are temporally adjacent.
- a consistent 3D model can be formed by fusing together multiple 2D images which are applied to a plurality of integrated 3D model segments. Then the 3D model of the patient's internal anatomical structure can be displayed to a user on a display device.
- Fig 2((234) The app is developed for HoloLens 2 device.
- This device is of a cutting-edge technology has features including spatial recognition, hand recognition, iris tracking etc.
- the application has multiple features including anatomy and pathology modules.
- Other features include surgical simulations (Fig 2((251)) and integration with Electronic Medical records (Fig 2((250)) and like.
- Fig 5 (500 to 510) displays screenshots in a sequential process flow illustrating the conversion process of the of 2D confocal image to 3D fundus model.
- the patient details are scanned by the fundus scanner (Fig 5 (500)) to capture the 2D confocal image (Fig 5(501)) of the eye.
- the UV layout (Fig 5 (503)) related to the fundus image is created in the modelling platform (Fig 5 (502)) (software) and applied over the 2D confocal image (Fig 5(501)) for super imposing of the fundus image with UV layout (Fig 5 (504)).
- Figure 9 illustrates the annotated screen shots of Type (1) 3D modelling process output for brain stem Nucleus
- the annotations are;- Superior Colliculus (Fig 9(900)), Pretectal Nucleus (Fig 9(901)), Interior Colliculus (Fig 9(902)), Motor Nucleus of Trigeminal Nerve (Fig 9(903)), Cochlear Nucleus (Fig 9(904)), Abducent Nucleus (Fig 9(905)), Spinal Nucleus of Trigeminal (Fig 9(906)), Dorsal Nucleus of Vagus(Fig 9(907)), Hypoglossal Nucleus (Fig 9(908)), Nucleus Ambiguus (Fig 9(909)), Accessory Nucleus (Fig 9(910)) Edinger Westphal Nucleus (Fig 9(911)) Red Nucleus (Fig 9(912)), riMLF (Fig 9(913)), Nucleus of Cajal (Fig 9(914)), Oculo Motor Nucleus (Fig 9(91)), Fig
- Present invention is aimed at development of a digital system and 3D tool for training and medical counseling in ophthalmology and as the capability to integrate with virtual simulators for training of specialized physicians, mainly in surgical education.
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Algebra (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Ophthalmology & Optometry (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- Chemical & Material Sciences (AREA)
- Medicinal Chemistry (AREA)
- Heart & Thoracic Surgery (AREA)
- Computational Mathematics (AREA)
- Signal Processing (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Eye Examination Apparatus (AREA)
Abstract
L'invention concerne un système numérique créatif et un outil 3D développé sur une interface tactile 3D interactive avancée, à l'aide d'images confocales de fond d'œil en temps réel de patient conjointement avec leurs images multimodales dans de multiples coupes et qui peut être vue en format 3D. (Fig.5) L'invention est apte à produire des modèles ayant une visibilité claire jusqu'au niveau de vision microscopique électronique, les modèles standard sont visualisés pour l'étude de l'ophtalmologie en vue de l'entraînement d'étudiants et également pour la consultation médicale de patients en ce qui concerne l'anatomie (Fig. 2 (236)) et la pathologie (Fig. 2 (237)) de l'œil, la véritable image de fond d'œil (Fig. 2 (221)) du patient est superposée aux modèles 3D pour obtenir des modèles 3D presque précis et fidèles aux affections oculaires, le système numérique peut être intégré à n'importe quelle technologie de pointe telle qu'un outil 3D standard (Fig. 2 (229)) à partir d'un PC, d'un mobile ou de tout autre dispositif compatible, en variante l'image 3D peut aussi être visualisée à travers des dispositifs AR, VR compatibles également, le système numérique est également apte à effectuer une impression 3D (Fig. 2 (235)) pour une étude, un entraînement et une consultation d'ophtalmologie objectivés.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN202241010019 | 2022-03-24 | ||
| IN202241010019 | 2022-03-24 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2023181072A1 true WO2023181072A1 (fr) | 2023-09-28 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IN2023/050277 WO2023181072A1 (fr) | 2022-03-24 | 2023-03-22 | Système numérique et outil 3d pour l'entraînement et la consultation médicale en ophtalmologie |
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| Country | Link |
|---|---|
| WO (1) | WO2023181072A1 (fr) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117952964A (zh) * | 2024-03-25 | 2024-04-30 | 重庆医科大学绍兴柯桥医学检验技术研究中心 | 基于计算机视觉技术的眼底医学影像分析方法 |
| CN117952964B (zh) * | 2024-03-25 | 2024-06-07 | 重庆医科大学绍兴柯桥医学检验技术研究中心 | 基于计算机视觉技术的眼底医学影像分析方法 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120047A (zh) * | 2019-04-04 | 2019-08-13 | 平安科技（深圳）有限公司 | 图像分割模型训练方法、图像分割方法、装置、设备及介质 |
| CN112513999A (zh) * | 2017-10-13 | 2021-03-16 | 人工智能技术公司 | 眼科疾病和病症的基于深度学习的诊断和转诊 |
| KR20210144958A (ko) * | 2015-03-16 | 2021-11-30 | 매직 립, 인코포레이티드 | 건강 질환 진단과 치료를 위한 방법 및 시스템 |
-
2023
- 2023-03-22 WO PCT/IN2023/050277 patent/WO2023181072A1/fr unknown
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210144958A (ko) * | 2015-03-16 | 2021-11-30 | 매직 립, 인코포레이티드 | 건강 질환 진단과 치료를 위한 방법 및 시스템 |
| CN112513999A (zh) * | 2017-10-13 | 2021-03-16 | 人工智能技术公司 | 眼科疾病和病症的基于深度学习的诊断和转诊 |
| CN110120047A (zh) * | 2019-04-04 | 2019-08-13 | 平安科技（深圳）有限公司 | 图像分割模型训练方法、图像分割方法、装置、设备及介质 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117952964A (zh) * | 2024-03-25 | 2024-04-30 | 重庆医科大学绍兴柯桥医学检验技术研究中心 | 基于计算机视觉技术的眼底医学影像分析方法 |
| CN117952964B (zh) * | 2024-03-25 | 2024-06-07 | 重庆医科大学绍兴柯桥医学检验技术研究中心 | 基于计算机视觉技术的眼底医学影像分析方法 |
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