JP6596100B2 - 脳組織分類 - Google Patents
脳組織分類 Download PDFInfo
- Publication number
- JP6596100B2 JP6596100B2 JP2017552066A JP2017552066A JP6596100B2 JP 6596100 B2 JP6596100 B2 JP 6596100B2 JP 2017552066 A JP2017552066 A JP 2017552066A JP 2017552066 A JP2017552066 A JP 2017552066A JP 6596100 B2 JP6596100 B2 JP 6596100B2
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- JP
- Japan
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- user
- map
- tissue classification
- brain
- prior probability
- 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.)
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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
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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
- A61B5/0033—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
- A61B5/004—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
- A61B5/0042—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
- A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/24—Indexing scheme for image data processing or generation, in general involving graphical user interfaces [GUIs]
-
- 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
- G06T2207/20076—Probabilistic image processing
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- 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
-
- 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
- G06T2207/20112—Image segmentation details
- G06T2207/20128—Atlas-based segmentation
-
- 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
- G06T2207/30016—Brain
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- High Energy & Nuclear Physics (AREA)
- Neurology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Image Analysis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Nuclear Medicine (AREA)
- Image Processing (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562154768P | 2015-04-30 | 2015-04-30 | |
| US62/154,768 | 2015-04-30 | ||
| EP15170208 | 2015-06-02 | ||
| EP15170208.1 | 2015-06-02 | ||
| PCT/EP2016/059115 WO2016173957A1 (en) | 2015-04-30 | 2016-04-25 | Brain tissue classification |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2018520710A JP2018520710A (ja) | 2018-08-02 |
| JP2018520710A5 JP2018520710A5 (enExample) | 2019-03-07 |
| JP6596100B2 true JP6596100B2 (ja) | 2019-10-23 |
Family
ID=53276026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2017552066A Active JP6596100B2 (ja) | 2015-04-30 | 2016-04-25 | 脳組織分類 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US10331981B2 (enExample) |
| EP (1) | EP3289563B1 (enExample) |
| JP (1) | JP6596100B2 (enExample) |
| CN (1) | CN107567637B (enExample) |
| WO (1) | WO2016173957A1 (enExample) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150108701A (ko) * | 2014-03-18 | 2015-09-30 | 삼성전자주식회사 | 의료 영상 내 해부학적 요소 시각화 시스템 및 방법 |
| US10692211B2 (en) * | 2017-06-20 | 2020-06-23 | Case Western Reserve University | Intra-perinodular textural transition (IPRIS): a three dimenisonal (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images |
| US10671896B2 (en) * | 2017-12-04 | 2020-06-02 | International Business Machines Corporation | Systems and user interfaces for enhancement of data utilized in machine-learning based medical image review |
| US10607122B2 (en) * | 2017-12-04 | 2020-03-31 | International Business Machines Corporation | Systems and user interfaces for enhancement of data utilized in machine-learning based medical image review |
| CN108345890B (zh) * | 2018-03-01 | 2022-10-28 | 腾讯科技(深圳)有限公司 | 图像处理方法、装置和相关设备 |
| US11741365B2 (en) | 2018-05-14 | 2023-08-29 | Tempus Labs, Inc. | Generalizable and interpretable deep learning framework for predicting MSI from histopathology slide images |
| US10957041B2 (en) | 2018-05-14 | 2021-03-23 | Tempus Labs, Inc. | Determining biomarkers from histopathology slide images |
| US11348661B2 (en) | 2018-05-14 | 2022-05-31 | Tempus Labs, Inc. | Predicting total nucleic acid yield and dissection boundaries for histology slides |
| CA3287321A1 (en) * | 2018-12-31 | 2025-11-29 | Tempus Ai Inc | Artificial intelligence segmentation of tissue images |
| US11967070B2 (en) | 2019-05-13 | 2024-04-23 | The General Hospital Corporation | Systems and methods for automated image analysis |
| JP7296799B2 (ja) * | 2019-06-28 | 2023-06-23 | セコム株式会社 | 領域分割装置、領域分割方法、及び領域分割プログラム |
| CN111403030B (zh) * | 2020-02-27 | 2024-02-02 | 合创汽车科技有限公司 | 心理健康监测方法、装置、计算机设备和存储介质 |
| EP4272635B1 (en) * | 2020-12-30 | 2025-12-17 | Neurophet Inc. | Method for providing diagnosis assistance information, and device performing same |
| EP4109463A1 (en) * | 2021-06-24 | 2022-12-28 | Siemens Healthcare GmbH | Providing a second result dataset |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7088854B2 (en) * | 2001-04-25 | 2006-08-08 | Cotman Carl W | Method and apparatus for generating special-purpose image analysis algorithms |
| JP4721693B2 (ja) * | 2004-12-09 | 2011-07-13 | 富士フイルムRiファーマ株式会社 | 頭蓋内容積および局所脳構造物解析プログラム、記録媒体および頭蓋内容積および局所脳構造物解析方法 |
| WO2008089492A2 (en) | 2007-01-19 | 2008-07-24 | Mayo Foundation For Medical Education And Research | Electronic stool subtraction using quadratic regression and intelligent morphology |
| US8213696B2 (en) | 2007-07-12 | 2012-07-03 | Siemens Medical Solutions Usa, Inc. | Tissue detection method for computer aided diagnosis and visualization in the presence of tagging |
| CA2716598A1 (en) * | 2008-03-04 | 2009-09-11 | Tomotherapy Incorporated | Method and system for improved image segmentation |
| SG176860A1 (en) | 2009-06-23 | 2012-01-30 | Agency Science Tech & Res | A method and system for segmenting a brain image |
| WO2011040473A1 (ja) * | 2009-09-29 | 2011-04-07 | 大日本印刷株式会社 | 医用画像処理方法、装置およびプログラム |
| US9659364B2 (en) * | 2010-03-11 | 2017-05-23 | Koninklijke Philips N.V. | Probabilistic refinement of model-based segmentation |
| WO2011160309A1 (zh) | 2010-06-25 | 2011-12-29 | 中国科学院自动化研究所 | 基于鲁棒统计信息传播的多模态三维磁共振图像脑肿瘤分割方法 |
| EP2646978A1 (en) | 2010-12-01 | 2013-10-09 | BrainLAB AG | Longitudinal monitoring of pathology |
| CN102115741B (zh) * | 2010-12-10 | 2013-07-17 | 许汉鹏 | 一种原位分类提取生物大分子的方法及其系统 |
| US9691156B2 (en) | 2012-02-01 | 2017-06-27 | Koninklijke Philips N.V. | Object image labeling apparatus, method and program |
| US9888876B2 (en) * | 2012-03-21 | 2018-02-13 | The Johns Hopkins University | Method of analyzing multi-sequence MRI data for analysing brain abnormalities in a subject |
| NZ704197A (en) * | 2012-06-29 | 2017-03-31 | Douwe Egberts Bv | Aromatization of coffee |
| CN103366379B (zh) * | 2013-07-29 | 2016-08-10 | 江苏中惠医疗科技股份有限公司 | 基于遗传核模糊聚类的水平集医学图像分割方法 |
-
2016
- 2016-04-25 WO PCT/EP2016/059115 patent/WO2016173957A1/en not_active Ceased
- 2016-04-25 JP JP2017552066A patent/JP6596100B2/ja active Active
- 2016-04-25 US US15/564,263 patent/US10331981B2/en active Active
- 2016-04-25 EP EP16720773.7A patent/EP3289563B1/en active Active
- 2016-04-25 CN CN201680024874.8A patent/CN107567637B/zh active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US20180137394A1 (en) | 2018-05-17 |
| EP3289563B1 (en) | 2020-08-05 |
| WO2016173957A1 (en) | 2016-11-03 |
| JP2018520710A (ja) | 2018-08-02 |
| CN107567637B (zh) | 2022-01-25 |
| EP3289563A1 (en) | 2018-03-07 |
| CN107567637A (zh) | 2018-01-09 |
| US10331981B2 (en) | 2019-06-25 |
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