EP3803687A4 - Verfahren und systeme zur verwendung von quantitativer bildgebung - Google Patents
Verfahren und systeme zur verwendung von quantitativer bildgebung Download PDFInfo
- Publication number
- EP3803687A4 EP3803687A4 EP19811880.4A EP19811880A EP3803687A4 EP 3803687 A4 EP3803687 A4 EP 3803687A4 EP 19811880 A EP19811880 A EP 19811880A EP 3803687 A4 EP3803687 A4 EP 3803687A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- systems
- methods
- quantitative imaging
- utilizing quantitative
- utilizing
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
- G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06T2207/30096—Tumor; Lesion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
- G06V2201/032—Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862676975P | 2018-05-27 | 2018-05-27 | |
US201862771448P | 2018-11-26 | 2018-11-26 | |
PCT/US2019/033930 WO2019231844A1 (en) | 2018-05-27 | 2019-05-24 | Methods and systems for utilizing quantitative imaging |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3803687A1 EP3803687A1 (de) | 2021-04-14 |
EP3803687A4 true EP3803687A4 (de) | 2022-03-23 |
Family
ID=68697312
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19811880.4A Pending EP3803687A4 (de) | 2018-05-27 | 2019-05-24 | Verfahren und systeme zur verwendung von quantitativer bildgebung |
Country Status (5)
Country | Link |
---|---|
EP (1) | EP3803687A4 (de) |
JP (2) | JP7113916B2 (de) |
KR (1) | KR102491988B1 (de) |
CN (1) | CN112567378A (de) |
WO (1) | WO2019231844A1 (de) |
Families Citing this family (19)
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CN111504675B (zh) * | 2020-04-14 | 2021-04-09 | 河海大学 | 一种气体绝缘组合电器机械故障在线诊断方法 |
CN111784704B (zh) * | 2020-06-24 | 2023-11-24 | 中国人民解放军空军军医大学 | Mri髋关节炎症分割与分类自动定量分级序贯方法 |
US20220036560A1 (en) * | 2020-07-30 | 2022-02-03 | Biosense Webster (Israel) Ltd. | Automatic segmentation of anatomical structures of wide area circumferential ablation points |
CN112669439B (zh) * | 2020-11-23 | 2024-03-19 | 西安电子科技大学 | 基于迁移学习的颅内血管造影增强三维模型的建立方法 |
EP4256584A1 (de) * | 2020-12-04 | 2023-10-11 | Koninklijke Philips N.V. | Druck- und röntgenbildvorhersage von ballonaufblasereignissen |
CN112527374A (zh) * | 2020-12-11 | 2021-03-19 | 北京百度网讯科技有限公司 | 标注工具生成方法、标注方法、装置、设备以及存储介质 |
CN113499098A (zh) * | 2021-07-14 | 2021-10-15 | 上海市奉贤区中心医院 | 一种基于人工智能的颈动脉斑块探测仪及评估方法 |
EP4167184A1 (de) * | 2021-10-13 | 2023-04-19 | Shanghai United Imaging Healthcare Co., Ltd. | Systeme und verfahren zur plaqueerkennung, plaquezusammensetzungsanalyse und plaquestabilitätserkennung |
CN113935258B (zh) * | 2021-10-15 | 2022-05-20 | 北京百度网讯科技有限公司 | 计算流体动力学加速方法、装置、设备以及存储介质 |
KR102597081B1 (ko) * | 2021-11-30 | 2023-11-02 | (주)자비스 | 인공 지능 기반 대상체 앙상블 비파괴 검사 방법, 장치 및 시스템 |
KR102602559B1 (ko) * | 2021-11-30 | 2023-11-16 | (주)자비스 | 선택적 인공 지능 엔진 기반 대상체 비파괴 검사 방법, 장치 및 시스템 |
KR102567138B1 (ko) * | 2021-12-30 | 2023-08-17 | 가천대학교 산학협력단 | 머신러닝 기반 모발 건강 진단 방법 및 시스템 |
CN114533201A (zh) * | 2022-01-05 | 2022-05-27 | 华中科技大学同济医学院附属协和医院 | 一种新型的体外波碎血凝块辅助设备 |
CN115115654B (zh) * | 2022-06-14 | 2023-09-08 | 北京空间飞行器总体设计部 | 一种基于显著性和近邻形状查询的物体图像分割方法 |
CN115294191B (zh) * | 2022-10-08 | 2022-12-27 | 武汉楚精灵医疗科技有限公司 | 基于电子内镜的标志物尺寸测量方法、装置、设备及介质 |
CN115546612A (zh) * | 2022-11-30 | 2022-12-30 | 中国科学技术大学 | 一种联合图数据和图神经网络的图像解释方法及装置 |
CN116110589B (zh) * | 2022-12-09 | 2023-11-03 | 东北林业大学 | 一种基于回顾性校正的糖尿病视网膜病变的预测方法 |
CN115797333B (zh) * | 2023-01-29 | 2023-05-09 | 成都中医药大学 | 一种个性化定制的智能视觉训练方法 |
CN117132577B (zh) * | 2023-09-07 | 2024-02-23 | 湖北大学 | 非侵入式检测心肌组织张力和振动的方法 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170046839A1 (en) * | 2015-08-14 | 2017-02-16 | Elucid Bioimaging Inc. | Systems and methods for analyzing pathologies utilizing quantitative imaging |
Family Cites Families (15)
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US7467119B2 (en) * | 2003-07-21 | 2008-12-16 | Aureon Laboratories, Inc. | Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition |
US8090164B2 (en) * | 2003-08-25 | 2012-01-03 | The University Of North Carolina At Chapel Hill | Systems, methods, and computer program products for analysis of vessel attributes for diagnosis, disease staging, and surgical planning |
US20050118632A1 (en) * | 2003-11-06 | 2005-06-02 | Jian Chen | Polynucleotides and polypeptides encoding a novel metalloprotease, Protease-40b |
JP2006181025A (ja) * | 2004-12-27 | 2006-07-13 | Fuji Photo Film Co Ltd | 異常陰影検出方法および装置並びにプログラム |
CN1952981A (zh) * | 2005-07-13 | 2007-04-25 | 西门子共同研究公司 | 利用形状模型的基于知识的图像分割方法 |
US8734823B2 (en) * | 2005-12-14 | 2014-05-27 | The Invention Science Fund I, Llc | Device including altered microorganisms, and methods and systems of use |
CN101437933B (zh) * | 2005-12-28 | 2013-11-06 | 斯克里普斯研究所 | 作为药物靶标的天然反义和非编码的rna转录物 |
PT2145276T (pt) * | 2007-04-05 | 2020-07-30 | Fund D Anna Sommer Champalimaud E Dr Carlos Montez Champalimaud | Sistemas e métodos de tratamento, diagnóstico e previsão da ocorrência de uma condição médica |
US8774479B2 (en) * | 2008-02-19 | 2014-07-08 | The Trustees Of The University Of Pennsylvania | System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors |
US9878177B2 (en) * | 2015-01-28 | 2018-01-30 | Elekta Ab (Publ) | Three dimensional localization and tracking for adaptive radiation therapy |
DE102016010909A1 (de) * | 2015-11-11 | 2017-05-11 | Adobe Systems Incorporated | Strukturiertes Modellieren, Extrahieren und Lokalisieren von Wissen aus Bildern |
JP7075882B2 (ja) * | 2016-03-02 | 2022-05-26 | 多恵 岩澤 | 肺野病変の診断支援装置、該装置の制御方法及びプログラム |
US10163040B2 (en) * | 2016-07-21 | 2018-12-25 | Toshiba Medical Systems Corporation | Classification method and apparatus |
KR101980955B1 (ko) * | 2016-08-22 | 2019-05-21 | 한국과학기술원 | 3차원 의료 영상에서 깊이 방향 재귀 학습을 이용하는 병변 특징 표현 분석 방법 및 시스템 |
CN107730489A (zh) * | 2017-10-09 | 2018-02-23 | 杭州电子科技大学 | 无线胶囊内窥镜小肠病变计算机辅助检测系统及检测方法 |
-
2019
- 2019-05-24 CN CN201980049912.9A patent/CN112567378A/zh active Pending
- 2019-05-24 EP EP19811880.4A patent/EP3803687A4/de active Pending
- 2019-05-24 KR KR1020207037314A patent/KR102491988B1/ko active IP Right Grant
- 2019-05-24 WO PCT/US2019/033930 patent/WO2019231844A1/en unknown
- 2019-05-24 JP JP2020567160A patent/JP7113916B2/ja active Active
-
2022
- 2022-06-22 JP JP2022100036A patent/JP2022123103A/ja active Pending
Patent Citations (1)
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US20170046839A1 (en) * | 2015-08-14 | 2017-02-16 | Elucid Bioimaging Inc. | Systems and methods for analyzing pathologies utilizing quantitative imaging |
Non-Patent Citations (2)
Title |
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MAJD ZREIK ET AL: "Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 12 April 2018 (2018-04-12), XP080870084 * |
WEI JUN ET AL: "Computerized detection of noncalcified plaques in coronary CT angiography: Evaluation of topological soft gradient prescreening method and luminal analysis", MEDICAL PHYSICS., vol. 41, no. 8Part1, 7 July 2014 (2014-07-07), US, pages 081901 - n/a, XP055888731, ISSN: 0094-2405, Retrieved from the Internet <URL:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105962/pdf/MPHYA6-000041-081901_1.pdf> DOI: 10.1118/1.4885958 * |
Also Published As
Publication number | Publication date |
---|---|
CN112567378A (zh) | 2021-03-26 |
KR102491988B1 (ko) | 2023-01-27 |
JP2022123103A (ja) | 2022-08-23 |
JP7113916B2 (ja) | 2022-08-05 |
KR20210042267A (ko) | 2021-04-19 |
WO2019231844A1 (en) | 2019-12-05 |
EP3803687A1 (de) | 2021-04-14 |
JP2021525929A (ja) | 2021-09-27 |
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RIN1 | Information on inventor provided before grant (corrected) |
Inventor name: BUCKLER, MARK A. Inventor name: PAIK, DAVID S. Inventor name: VALTCHINOV, VLADIMIR Inventor name: BUCKLER, ANDREW J. |
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RAP3 | Party data changed (applicant data changed or rights of an application transferred) |
Owner name: ELUCID BIOIMAGING INC. |
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A4 | Supplementary search report drawn up and despatched |
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RIC1 | Information provided on ipc code assigned before grant |
Ipc: G06V 10/82 20220101ALI20220211BHEP Ipc: G06V 10/44 20220101ALI20220211BHEP Ipc: G06K 9/62 20060101ALI20220211BHEP Ipc: G06T 7/00 20170101ALI20220211BHEP Ipc: G06T 7/10 20170101ALI20220211BHEP Ipc: G06T 7/60 20170101ALI20220211BHEP Ipc: G06K 9/00 20060101AFI20220211BHEP |