MX2018008165A - Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial. - Google Patents
Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial.Info
- Publication number
- MX2018008165A MX2018008165A MX2018008165A MX2018008165A MX2018008165A MX 2018008165 A MX2018008165 A MX 2018008165A MX 2018008165 A MX2018008165 A MX 2018008165A MX 2018008165 A MX2018008165 A MX 2018008165A MX 2018008165 A MX2018008165 A MX 2018008165A
- Authority
- MX
- Mexico
- Prior art keywords
- diabetic
- macular oedema
- diabetic retinopathy
- diabetic macular
- important
- Prior art date
Links
Classifications
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- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
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- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/13—Ophthalmic microscopes
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- 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
- A61B3/0041—Operational features thereof characterised by display arrangements
-
- 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
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
- A61B3/1208—Multiple lens hand-held instruments
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0013—Medical image data
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
- A61B5/14555—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases specially adapted for the eye fundus
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4875—Hydration status, fluid retention of the body
- A61B5/4878—Evaluating oedema
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Ophthalmology & Optometry (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Optics & Photonics (AREA)
- Psychiatry (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Signal Processing (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Emergency Medicine (AREA)
- Geometry (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Eye Examination Apparatus (AREA)
Abstract
La diabetes es una enfermedad caracterizada por cifras elevadas de glucosa en sangre. Es importante mantener la diabetes controlada para evitar complicaciones a corto y largo plazo. La diabetes puede afectar a la visión debido a las alteraciones que produce en los vasos sanguíneos de la retina. Esto se conoce como Retinopatía Diabética (RD), la cual constituye una de las primeras causas de baja visión en países desarrollados. Una de las complicaciones de la retinopatía diabética es el Edema Macular Diabético (EMD), el cual es la primera causa de pérdida visual en pacientes diabéticos y puede aparecer en cualquier etapa de la Retinopatía Diabética. Consiste en la acumulación progresiva de líquido en la mácula, la zona más importante de la retina. La determinación del edema macular diabético es muy importante de la retina. La determinación del edema macular diabético es muy importante para un tratamiento adecuado de esta patología. Existe una variedad de opciones tecnológicas que se utilizan para la detección de la retinopatía diabética, aunque solo las más sofisticadas se encargan de la detección del edema macular, una complicación que aparece como consecuencia de la retinopatía diabética y que es de las principales causas de ceguera. La invención describe un sistema portátil para la detección del edema macular diabético a través de la captura de una imagen de fondo de ojo con un equipo portátil de oftalmoscopia; dicha imagen se envía vía alámbrica o inalámbrica a un sistema embebido que cuenta con un algoritmo basado en inteligencia artificial, mismo que extrae información de la imagen y la procesa para identificar la presencia de la patología bajo estudio.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| MX2018008165A MX2018008165A (es) | 2018-06-29 | 2018-06-29 | Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial. |
| PCT/MX2019/000036 WO2020005053A1 (es) | 2018-06-29 | 2019-04-12 | Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial |
| US17/256,937 US20210259546A1 (en) | 2018-06-29 | 2019-04-12 | Portable system for identifying potential cases of diabetic macular oedema using image processing and artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| MX2018008165A MX2018008165A (es) | 2018-06-29 | 2018-06-29 | Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial. |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2018008165A true MX2018008165A (es) | 2019-12-30 |
Family
ID=68985760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2018008165A MX2018008165A (es) | 2018-06-29 | 2018-06-29 | Sistema portátil para la identificación de casos potenciales de edema macular diabético mediante procesamiento de imagen e inteligencia artificial. |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20210259546A1 (es) |
| MX (1) | MX2018008165A (es) |
| WO (1) | WO2020005053A1 (es) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11918382B2 (en) * | 2020-04-13 | 2024-03-05 | International Business Machines Corporation | Continual background monitoring of eye health |
| US11382506B2 (en) | 2020-09-30 | 2022-07-12 | Ai-Ris LLC | Retinal imaging system |
| CN112446860B (zh) * | 2020-11-23 | 2024-04-16 | 中山大学中山眼科中心 | 一种基于迁移学习的糖尿病黄斑水肿自动筛查方法 |
| WO2022149028A1 (en) * | 2021-01-08 | 2022-07-14 | Alcon Inc. | Real-time detection of artifacts in ophthalmic images |
| US12035970B2 (en) * | 2021-01-08 | 2024-07-16 | Alcon Inc. | Real-time detection of artifacts in ophthalmic images |
| CN116709982A (zh) | 2021-02-22 | 2023-09-05 | 费森尤斯医疗保健控股公司 | 用于在家中测量水肿的系统和方法以及与其一起使用的测量图案 |
| US12235890B2 (en) * | 2022-01-07 | 2025-02-25 | Capital One Services, Llc | Using tracking pixels to determine areas of interest on a zoomed in image |
| AU2024267218A1 (en) * | 2023-05-08 | 2025-11-20 | John Gregory LADAS | Systems, apparatus and methods for treatment of retinal and macular diseases using artificial intelligence |
| CN118675219B (zh) * | 2024-08-23 | 2024-11-08 | 杭州聚秀科技有限公司 | 基于眼底图像的糖尿病视网膜病变小病灶检测方法及系统 |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010071898A2 (en) * | 2008-12-19 | 2010-06-24 | The Johns Hopkins Univeristy | A system and method for automated detection of age related macular degeneration and other retinal abnormalities |
| US9357920B2 (en) * | 2009-09-04 | 2016-06-07 | University Of Virginia Patent Foundation | Hand-held portable fundus camera for screening photography |
| US8836778B2 (en) * | 2009-12-04 | 2014-09-16 | Lumetrics, Inc. | Portable fundus camera |
| US20110299036A1 (en) * | 2010-06-02 | 2011-12-08 | Goldenholz Daniel M | Portable digital direct ophthalmoscope |
| US11074495B2 (en) * | 2013-02-28 | 2021-07-27 | Z Advanced Computing, Inc. (Zac) | System and method for extremely efficient image and pattern recognition and artificial intelligence platform |
| US8873813B2 (en) * | 2012-09-17 | 2014-10-28 | Z Advanced Computing, Inc. | Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities |
| TW201406707A (zh) * | 2012-05-04 | 2014-02-16 | Acucela Inc | 用以治療糖尿病性視網膜病變及其他眼部疾病之方法 |
| EP3192051B1 (en) * | 2014-09-08 | 2021-12-08 | The Cleveland Clinic Foundation | Automated analysis of angiographic images |
| CN104881862B (zh) * | 2015-04-03 | 2018-08-03 | 南通大学 | 一种基于眼底镜图像的视网膜血管迂曲度计算方法及其应用 |
| CN104835150B (zh) * | 2015-04-23 | 2018-06-19 | 深圳大学 | 一种基于学习的眼底血管几何关键点图像处理方法及装置 |
| JP2016214554A (ja) * | 2015-05-20 | 2016-12-22 | キヤノン株式会社 | 眼科装置及びその制御方法、携帯情報端末装置及びその制御方法、眼科システム、並びに、プログラム |
| WO2017096353A1 (en) * | 2015-12-03 | 2017-06-08 | The Cleveland Clinic Foundation | Automated clinical evaluation of the eye |
| CN105761254B (zh) * | 2016-02-04 | 2019-01-01 | 浙江工商大学 | 基于图像特征的眼底图像配准方法 |
| JP6090505B1 (ja) * | 2016-04-12 | 2017-03-08 | 株式会社網膜情報診断研究所 | 眼底画像解析システムとそのプログラム |
| CN106204555B (zh) * | 2016-06-30 | 2019-08-16 | 天津工业大学 | 一种结合Gbvs模型和相位一致性的视盘定位方法 |
| CN106097378A (zh) * | 2016-07-24 | 2016-11-09 | 江西理工大学 | 一种融合形状先验的水平集视网膜血管图像分割方法 |
| EP3373798B1 (en) * | 2016-11-22 | 2020-05-27 | Delphinium Clinic Ltd. | Method and system for classifying optic nerve head |
| JP6850506B2 (ja) * | 2017-02-08 | 2021-03-31 | スカノプティックス インク | 検眼鏡を用いた検査中の眼底の静止画像およびビデオ画像を取り込み、分析し、および送信するための装置および方法 |
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2018
- 2018-06-29 MX MX2018008165A patent/MX2018008165A/es unknown
-
2019
- 2019-04-12 US US17/256,937 patent/US20210259546A1/en active Pending
- 2019-04-12 WO PCT/MX2019/000036 patent/WO2020005053A1/es not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020005053A1 (es) | 2020-01-02 |
| US20210259546A1 (en) | 2021-08-26 |
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