FR3096497B1 - Procédé, dispositif et support lisible par ordinateur pour classifier automatiquement une lésion coronarienne selon la classification CAD-RADS par un réseau de neurones profond - Google Patents
Procédé, dispositif et support lisible par ordinateur pour classifier automatiquement une lésion coronarienne selon la classification CAD-RADS par un réseau de neurones profond Download PDFInfo
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- FR3096497B1 FR3096497B1 FR1905408A FR1905408A FR3096497B1 FR 3096497 B1 FR3096497 B1 FR 3096497B1 FR 1905408 A FR1905408 A FR 1905408A FR 1905408 A FR1905408 A FR 1905408A FR 3096497 B1 FR3096497 B1 FR 3096497B1
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- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/503—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of the heart
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/507—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for determination of haemodynamic parameters, e.g. perfusion CT
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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- G06N3/045—Combinations of networks
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G—PHYSICS
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- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G06T2207/30048—Heart; Cardiac
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- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
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- G—PHYSICS
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
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- G—PHYSICS
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- G06T2207/30168—Image quality inspection
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Abstract
L’invention a pour objet un procédé implémenté par ordinateur pour déterminer la présence d’une lésion coronarienne pour un patient, comprenant une première étape de réception d’au moins une image médicale multiplanaire curviligne ou étirée de tomodensitométrie (scanner X) d’une artère coronaire dudit patient. L’invention se caractérise en ce qu’il comprend en outre une étape de détermination d’une valeur selon la classification CAD-RADS (pour Coronary Artery Disease – Reporting and Data System value ou système de rapports et de données) d’une lésion coronarienne sur ladite image ou sur une partie de ladite image par l’utilisation d’un premier réseau de neurones profond entraîné appliqué directement aux images ou parties d’images détectées.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR1905408A FR3096497B1 (fr) | 2019-05-23 | 2019-05-23 | Procédé, dispositif et support lisible par ordinateur pour classifier automatiquement une lésion coronarienne selon la classification CAD-RADS par un réseau de neurones profond |
| EP20725201.6A EP3973504A1 (fr) | 2019-05-23 | 2020-05-18 | Procede, dispositif et support lisible par ordinateur pour classifier automatiquement une lesion coronarienne selon la classification cad-rads par un reseau de neurones profond |
| PCT/EP2020/063798 WO2020234233A1 (fr) | 2019-05-23 | 2020-05-18 | Procede, dispositif et support lisible par ordinateur pour classifier automatiquement une lesion coronarienne selon la classification cad-rads par un reseau de neurones profond |
| US17/613,455 US12033323B2 (en) | 2019-05-23 | 2020-05-18 | Method, device and computer-readable medium for automatically classifying coronary lesion according to CAD-RADS classification by a deep neural network |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR1905408A FR3096497B1 (fr) | 2019-05-23 | 2019-05-23 | Procédé, dispositif et support lisible par ordinateur pour classifier automatiquement une lésion coronarienne selon la classification CAD-RADS par un réseau de neurones profond |
| FR1905408 | 2019-05-23 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| FR3096497A1 FR3096497A1 (fr) | 2020-11-27 |
| FR3096497B1 true FR3096497B1 (fr) | 2021-04-30 |
Family
ID=68210917
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| FR1905408A Active FR3096497B1 (fr) | 2019-05-23 | 2019-05-23 | Procédé, dispositif et support lisible par ordinateur pour classifier automatiquement une lésion coronarienne selon la classification CAD-RADS par un réseau de neurones profond |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US12033323B2 (fr) |
| EP (1) | EP3973504A1 (fr) |
| FR (1) | FR3096497B1 (fr) |
| WO (1) | WO2020234233A1 (fr) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4589528A3 (fr) | 2019-08-05 | 2025-10-22 | Lightlab Imaging, Inc. | Affichage longitudinal de la charge calcique de l'artère coronaire |
| CN111709925B (zh) * | 2020-05-26 | 2023-11-03 | 深圳科亚医疗科技有限公司 | 用于血管斑块分析的装置、系统及介质 |
| US11775822B2 (en) * | 2020-05-28 | 2023-10-03 | Macronix International Co., Ltd. | Classification model training using diverse training source and inference engine using same |
| CN112700421B (zh) * | 2021-01-04 | 2022-03-25 | 推想医疗科技股份有限公司 | 冠脉图像分类方法及装置 |
| CN112967234B (zh) * | 2021-02-09 | 2022-12-09 | 复旦大学附属中山医院 | 冠状动脉功能生理学病变模式定量评价方法 |
| US12586180B2 (en) * | 2021-06-18 | 2026-03-24 | AI Optics Inc. | Assessment of image quality for a medical diagnostics device |
| WO2024178199A1 (fr) * | 2023-02-22 | 2024-08-29 | Q Bio, Inc. | Moteur de recommandation dynamique |
| CN116681890B (zh) * | 2023-05-31 | 2025-07-11 | 同济大学 | 一种基于目标检测的血管狭窄病变识别方法及其应用 |
| WO2025262634A1 (fr) | 2024-06-21 | 2025-12-26 | Universita' Degli Studi Di Torino | Procédé et système de traitement d'image angiographique |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101779224B (zh) * | 2007-08-03 | 2016-04-13 | 皇家飞利浦电子股份有限公司 | 用于绘制并显示3d管状结构的曲面重组视图的方法、装置和系统 |
| WO2019025270A1 (fr) * | 2017-08-01 | 2019-02-07 | Siemens Healthcare Gmbh | Évaluation non invasive et guidage de thérapie pour une coronaropathie dans des lésions diffuses et en tandem |
-
2019
- 2019-05-23 FR FR1905408A patent/FR3096497B1/fr active Active
-
2020
- 2020-05-18 WO PCT/EP2020/063798 patent/WO2020234233A1/fr not_active Ceased
- 2020-05-18 US US17/613,455 patent/US12033323B2/en active Active
- 2020-05-18 EP EP20725201.6A patent/EP3973504A1/fr active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020234233A1 (fr) | 2020-11-26 |
| FR3096497A1 (fr) | 2020-11-27 |
| US20220215541A1 (en) | 2022-07-07 |
| US12033323B2 (en) | 2024-07-09 |
| EP3973504A1 (fr) | 2022-03-30 |
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