CA2957445C - System and method for connectivity mapping - Google Patents
System and method for connectivity mapping Download PDFInfo
- Publication number
- CA2957445C CA2957445C CA2957445A CA2957445A CA2957445C CA 2957445 C CA2957445 C CA 2957445C CA 2957445 A CA2957445 A CA 2957445A CA 2957445 A CA2957445 A CA 2957445A CA 2957445 C CA2957445 C CA 2957445C
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- data
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- tracts
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
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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
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/56341—Diffusion imaging
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- 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
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
-
- 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]
-
- 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
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Computer Vision & Pattern Recognition (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Vascular Medicine (AREA)
- Quality & Reliability (AREA)
- Optics & Photonics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CA2014/000740 WO2016058075A1 (en) | 2014-10-17 | 2014-10-17 | System and method for connectivity mapping |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2957445A1 CA2957445A1 (en) | 2016-04-21 |
| CA2957445C true CA2957445C (en) | 2017-10-31 |
Family
ID=55745904
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2957445A Active CA2957445C (en) | 2014-10-17 | 2014-10-17 | System and method for connectivity mapping |
Country Status (8)
| Country | Link |
|---|---|
| US (2) | US9818188B2 (cg-RX-API-DMAC7.html) |
| JP (1) | JP6636514B2 (cg-RX-API-DMAC7.html) |
| CN (1) | CN107110944B (cg-RX-API-DMAC7.html) |
| AU (1) | AU2014409090B2 (cg-RX-API-DMAC7.html) |
| CA (1) | CA2957445C (cg-RX-API-DMAC7.html) |
| DE (1) | DE112014007064T5 (cg-RX-API-DMAC7.html) |
| GB (1) | GB2547833B (cg-RX-API-DMAC7.html) |
| WO (1) | WO2016058075A1 (cg-RX-API-DMAC7.html) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6636514B2 (ja) * | 2014-10-17 | 2020-01-29 | シナプティヴ メディカル (バルバドス) インコーポレイテッドSynaptive Medical (Barbados) Inc. | 医用画像相関図のシステム及び方法 |
| CN108022234B (zh) * | 2016-10-28 | 2022-03-01 | 东芝医疗系统株式会社 | 医用图像处理装置及医用图像处理方法 |
| CN109620407B (zh) | 2017-10-06 | 2024-02-06 | 皇家飞利浦有限公司 | 治疗轨迹引导系统 |
| US11288803B2 (en) | 2017-10-09 | 2022-03-29 | Koninklijke Philips N.V. | Ablation result validation system |
| US10783699B2 (en) * | 2018-02-16 | 2020-09-22 | AI Analysis, Inc. | Sub-voxel refinement of anatomical models |
| US20210342655A1 (en) * | 2020-04-30 | 2021-11-04 | Medtronic Navigation, Inc. | Method And Apparatus To Classify Structures In An Image |
| US11354803B1 (en) * | 2021-12-03 | 2022-06-07 | Omniscient Neurotechnology Pty Limited | Identifying spurious tracts in neuro-networks |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5594849A (en) * | 1991-08-09 | 1997-01-14 | Yale University | Biomedical magnetism imaging apparatus and method |
| JP2755125B2 (ja) * | 1993-09-30 | 1998-05-20 | 株式会社島津製作所 | Mrイメージング装置 |
| WO2004024003A1 (ja) * | 2002-09-12 | 2004-03-25 | Hitachi Medical Corporation | 生体組織の動き追跡方法、その追跡方法を用いた画像診断装置 |
| US20070165989A1 (en) * | 2005-11-30 | 2007-07-19 | Luis Serra Del Molino | Method and systems for diffusion tensor imaging |
| EP1996959A4 (en) * | 2006-03-03 | 2012-02-29 | Medic Vision Brain Technologies Ltd | SYSTEM AND METHOD FOR PRIORITIZE PRIORITIZATION AND AUTOMATIC ANALYSIS OF MEDICAL IMAGES |
| US8014578B2 (en) * | 2007-02-05 | 2011-09-06 | General Electric Company | Method and system for image segmentation using models |
| JP5266220B2 (ja) * | 2007-06-29 | 2013-08-21 | 俊徳 加藤 | 白質強調処理装置、白質強調処理方法及びプログラム |
| WO2009052497A2 (en) * | 2007-10-18 | 2009-04-23 | The University Of North Carolina At Chapel Hill | Methods, systems, and computer readable media for mapping regions in a model of an object comprising an anatomical structure from one image data set to images used in a diagnostic or therapeutic intervention |
| WO2009088965A1 (en) * | 2008-01-03 | 2009-07-16 | The Johns Hopkins University | Automated fiber tracking of human brain white matter using diffusion tensor imaging |
| US9453922B2 (en) * | 2008-09-09 | 2016-09-27 | Multi-Magnetics Incorporated | System and method for correcting attenuation in hybrid medical imaging |
| US8588486B2 (en) * | 2009-06-18 | 2013-11-19 | General Electric Company | Apparatus and method for isolating a region in an image |
| US20130172727A1 (en) * | 2010-04-30 | 2013-07-04 | The Johns Hopkins University | Intelligent Atlas for Automatic Image Analysis of Magnetic Resonance Imaging |
| US9275456B2 (en) * | 2010-10-29 | 2016-03-01 | The Johns Hopkins University | Image search engine |
| US8498709B2 (en) * | 2010-10-29 | 2013-07-30 | Sapiens Steering Brain Stimulation B.V. | Planning system for neurostimulation therapy |
| JP5872212B2 (ja) * | 2011-09-08 | 2016-03-01 | 株式会社東芝 | マルチスライスct装置及びデータ前処理方法 |
| US8958614B2 (en) * | 2011-11-28 | 2015-02-17 | Siemens Medical Solutions Usa, Inc. | Image-based detection using hierarchical learning |
| JP2014046034A (ja) * | 2012-08-31 | 2014-03-17 | Toshiba Corp | 画像処理装置 |
| CN104936512A (zh) * | 2013-01-24 | 2015-09-23 | 泰勒顿国际控股公司 | 身体结构成像 |
| JP6568478B2 (ja) * | 2013-03-15 | 2019-08-28 | シナプティヴ メディカル (バルバドス) インコーポレイテッドSynaptive Medical (Barbados) Inc. | 低侵襲治療のための計画、誘導およびシミュレーションシステムおよび方法 |
| JP6636514B2 (ja) * | 2014-10-17 | 2020-01-29 | シナプティヴ メディカル (バルバドス) インコーポレイテッドSynaptive Medical (Barbados) Inc. | 医用画像相関図のシステム及び方法 |
-
2014
- 2014-10-17 JP JP2017519687A patent/JP6636514B2/ja not_active Expired - Fee Related
- 2014-10-17 WO PCT/CA2014/000740 patent/WO2016058075A1/en not_active Ceased
- 2014-10-17 GB GB1707725.6A patent/GB2547833B/en active Active
- 2014-10-17 DE DE112014007064.5T patent/DE112014007064T5/de active Pending
- 2014-10-17 CN CN201480083738.7A patent/CN107110944B/zh active Active
- 2014-10-17 US US15/501,914 patent/US9818188B2/en active Active
- 2014-10-17 AU AU2014409090A patent/AU2014409090B2/en active Active
- 2014-10-17 CA CA2957445A patent/CA2957445C/en active Active
-
2017
- 2017-09-28 US US15/718,067 patent/US10078896B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US9818188B2 (en) | 2017-11-14 |
| JP2017531501A (ja) | 2017-10-26 |
| US20180018769A1 (en) | 2018-01-18 |
| US20170221208A1 (en) | 2017-08-03 |
| CN107110944A (zh) | 2017-08-29 |
| US10078896B2 (en) | 2018-09-18 |
| DE112014007064T5 (de) | 2017-06-29 |
| WO2016058075A1 (en) | 2016-04-21 |
| AU2014409090B2 (en) | 2020-07-02 |
| JP6636514B2 (ja) | 2020-01-29 |
| AU2014409090A1 (en) | 2017-04-27 |
| CN107110944B (zh) | 2019-11-22 |
| GB2547833A (en) | 2017-08-30 |
| CA2957445A1 (en) | 2016-04-21 |
| GB201707725D0 (en) | 2017-06-28 |
| GB2547833B (en) | 2020-11-25 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request |
Effective date: 20170207 |