MX348558B - Metodo implementado por ordenador para evaluar redes vasculares a partir de imagenes medicas y usos del mismo. - Google Patents
Metodo implementado por ordenador para evaluar redes vasculares a partir de imagenes medicas y usos del mismo.Info
- Publication number
- MX348558B MX348558B MX2015013483A MX2015013483A MX348558B MX 348558 B MX348558 B MX 348558B MX 2015013483 A MX2015013483 A MX 2015013483A MX 2015013483 A MX2015013483 A MX 2015013483A MX 348558 B MX348558 B MX 348558B
- Authority
- MX
- Mexico
- Prior art keywords
- graph
- video sequence
- same
- vascular networks
- medical images
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
- G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Clinical applications
- A61B8/0891—Clinical applications for diagnosis of blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/481—Diagnostic techniques involving the use of contrast agents, e.g. microbubbles introduced into the bloodstream
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
- G06T2207/10096—Dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
- G06T2207/10121—Fluoroscopy
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20104—Interactive definition of region of interest [ROI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30056—Liver; Hepatic
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Vascular Medicine (AREA)
- Hematology (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
El método comprende adquirir y analizar por medios informáticos información de imágenes de secuencias de vídeo de dos o más dimensiones obtenida a partir de señales realzadas por contraste, por ejemplo ultrasonidos, tomografía de coherencia, imágenes de fluorescencia o formación de imágenes por resonancia magnética, de una parte del cuerpo o tejido, por ejemplo de un órgano, de un sujeto vivo; detectar eventos a partir de dicha información de secuencias de vídeo; seleccionar una región de interés de dicha parte del cuerpo o tejido; calcular un primer gráfico representativo de una red vascular local de dicha información de imágenes de secuencias de vídeo en el que los bordes del gráfico se estiman mediante la relación temporal entre señales espacialmente remotas de dicha información de imágenes de secuencias de vídeo dentro de un conjunto de secuencias de vídeo; y usar dicho gráfico para la evaluación de redes vasculares.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP13001621.5A EP2784748B1 (en) | 2013-03-28 | 2013-03-28 | A computer implemented method for assessing vascular networks from medical images and uses thereof |
| PCT/IB2014/000392 WO2014155174A1 (en) | 2013-03-28 | 2014-03-20 | A computer implemented method for assessing vascular networks from medical images and uses thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| MX2015013483A MX2015013483A (es) | 2016-04-25 |
| MX348558B true MX348558B (es) | 2017-06-19 |
Family
ID=48092641
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2015013483A MX348558B (es) | 2013-03-28 | 2014-03-20 | Metodo implementado por ordenador para evaluar redes vasculares a partir de imagenes medicas y usos del mismo. |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US9589347B2 (es) |
| EP (1) | EP2784748B1 (es) |
| JP (1) | JP2016515418A (es) |
| CN (1) | CN105229699A (es) |
| AU (1) | AU2014242640A1 (es) |
| BR (1) | BR112015024567A2 (es) |
| CA (1) | CA2907697A1 (es) |
| MX (1) | MX348558B (es) |
| WO (1) | WO2014155174A1 (es) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2784748B1 (en) | 2013-03-28 | 2017-11-01 | Expert Ymaging, SL | A computer implemented method for assessing vascular networks from medical images and uses thereof |
| DE102014224557A1 (de) * | 2014-12-01 | 2016-06-02 | Osram Gmbh | Bildverarbeitung mittels Kreuzkorrelation |
| JP7003109B2 (ja) * | 2016-04-11 | 2022-02-21 | エージェンシー フォー サイエンス， テクノロジー アンド リサーチ | 化合物誘発性肝臓傷害を正確に予測するためのハイスループット方法 |
| CN106124175B (zh) * | 2016-06-14 | 2019-08-06 | 电子科技大学 | 一种基于贝叶斯网络的压缩机气阀故障诊断方法 |
| US10672155B2 (en) * | 2016-08-17 | 2020-06-02 | International Business Machines Corporation | Non-linear, multi-resolution visualization of a graph |
| CN108205805B (zh) * | 2016-12-20 | 2020-06-02 | 北京大学 | 锥束ct图像间体素稠密对应的自动建立方法 |
| CN107526939B (zh) * | 2017-06-30 | 2020-10-16 | 南京理工大学 | 一种快速小分子结构对齐方法 |
| US11000224B2 (en) * | 2017-09-05 | 2021-05-11 | Korea University Research And Business Foundation | Method and apparatus of monitoring anaesthesia and consciousness depth through brain network analysis |
| US11200666B2 (en) * | 2018-07-03 | 2021-12-14 | Caroline Choi | Method for diagnosing, predicting, determining prognosis, monitoring, or staging disease based on vascularization patterns |
| EP3637364A1 (de) | 2018-10-09 | 2020-04-15 | Martin Bansmann | Visualisierung einer gewebeeigenschaft |
| RU2713944C1 (ru) * | 2018-12-28 | 2020-02-11 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Смоленский государственный медицинский университет" министерства здравоохранения Российской Федерации | Способ прогнозирования клинического течения диффузных заболеваний печени |
| CN110867224B (zh) * | 2019-10-28 | 2022-02-08 | 南通大学 | 用于大规模脑病历分割的多粒度Spark超信任模糊方法 |
| CN112651976B (zh) * | 2020-10-13 | 2022-07-19 | 首都医科大学附属北京天坛医院 | 基于低分辨率核磁数据的病灶区域脑网络确定方法及系统 |
| CN117357132B (zh) * | 2023-12-06 | 2024-03-01 | 之江实验室 | 一种基于多层脑网络节点参与系数的任务执行方法及装置 |
| CN119344773B (zh) * | 2024-12-26 | 2025-03-21 | 浙江大学 | 基于光流分析的肌骨超声超微血流量化分级方法与系统 |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5150292A (en) * | 1989-10-27 | 1992-09-22 | Arch Development Corporation | Method and system for determination of instantaneous and average blood flow rates from digital angiograms |
| ES2235180T3 (es) * | 1995-10-10 | 2005-07-01 | Advanced Technology Laboratories, Inc. | Formacion de imagenes de diagnostico por ultrasonidos con agentes de contraste. |
| JP4373698B2 (ja) * | 2003-04-25 | 2009-11-25 | 株式会社東芝 | 超音波診断装置及び超音波診断支援プログラム |
| JP4602993B2 (ja) * | 2004-01-16 | 2010-12-22 | ボストン サイエンティフィック リミテッド | 医用撮像のための方法及び装置 |
| CA2634466A1 (en) * | 2004-12-22 | 2006-06-29 | Bio-Tree Systems, Inc. | Medical imaging methods and apparatus for diagnosis and monitoring of diseases and uses therefor |
| JP4535866B2 (ja) * | 2004-12-27 | 2010-09-01 | ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー | 超音波イメージング装置 |
| US20080273777A1 (en) * | 2005-10-21 | 2008-11-06 | Vincent Luboz | Methods And Apparatus For Segmentation And Reconstruction For Endovascular And Endoluminal Anatomical Structures |
| US7620227B2 (en) * | 2005-12-29 | 2009-11-17 | General Electric Co. | Computer-aided detection system utilizing temporal analysis as a precursor to spatial analysis |
| JP2012508053A (ja) * | 2008-11-11 | 2012-04-05 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | 時間的パラメトリック・コントラスト画像を使った超音波病変識別 |
| US9679389B2 (en) * | 2009-05-19 | 2017-06-13 | Algotec Systems Ltd. | Method and system for blood vessel segmentation and classification |
| US20110293150A1 (en) * | 2010-05-28 | 2011-12-01 | General Electric Company | Iterative vascular reconstruction by seed point segmentation |
| US8542898B2 (en) * | 2010-12-16 | 2013-09-24 | Massachusetts Institute Of Technology | Bayesian inference of particle motion and dynamics from single particle tracking and fluorescence correlation spectroscopy |
| WO2013097118A1 (zh) * | 2011-12-28 | 2013-07-04 | 中国科学院自动化研究所 | 对脑功能磁共振数据进行处理的方法 |
| EP2725508A1 (en) * | 2012-10-24 | 2014-04-30 | Nidek Co., Ltd. | Ophthalmic analysis apparatus |
| JP2014100249A (ja) * | 2012-11-19 | 2014-06-05 | Toshiba Corp | 血管解析装置、医用画像診断装置、血管解析方法、及び血管解析プログラム |
| EP2784748B1 (en) | 2013-03-28 | 2017-11-01 | Expert Ymaging, SL | A computer implemented method for assessing vascular networks from medical images and uses thereof |
| WO2016011137A1 (en) * | 2014-07-15 | 2016-01-21 | Brigham And Women's Hospital, Inc. | Systems and methods for generating biomarkers based on multivariate classification of functional imaging and associated data |
-
2013
- 2013-03-28 EP EP13001621.5A patent/EP2784748B1/en not_active Not-in-force
-
2014
- 2014-03-20 CA CA2907697A patent/CA2907697A1/en not_active Abandoned
- 2014-03-20 BR BR112015024567A patent/BR112015024567A2/pt not_active IP Right Cessation
- 2014-03-20 WO PCT/IB2014/000392 patent/WO2014155174A1/en not_active Ceased
- 2014-03-20 MX MX2015013483A patent/MX348558B/es active IP Right Grant
- 2014-03-20 US US14/779,000 patent/US9589347B2/en not_active Expired - Fee Related
- 2014-03-20 CN CN201480025333.8A patent/CN105229699A/zh active Pending
- 2014-03-20 AU AU2014242640A patent/AU2014242640A1/en not_active Abandoned
- 2014-03-20 JP JP2016504767A patent/JP2016515418A/ja not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| AU2014242640A1 (en) | 2015-10-15 |
| EP2784748A1 (en) | 2014-10-01 |
| US20160042514A1 (en) | 2016-02-11 |
| BR112015024567A2 (pt) | 2017-07-18 |
| JP2016515418A (ja) | 2016-05-30 |
| WO2014155174A8 (en) | 2014-11-27 |
| CN105229699A (zh) | 2016-01-06 |
| CA2907697A1 (en) | 2014-10-02 |
| US9589347B2 (en) | 2017-03-07 |
| MX2015013483A (es) | 2016-04-25 |
| EP2784748B1 (en) | 2017-11-01 |
| WO2014155174A1 (en) | 2014-10-02 |
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| FG | Grant or registration |