CN1818707A - 扩散张量表面显象 - Google Patents
扩散张量表面显象 Download PDFInfo
- Publication number
- CN1818707A CN1818707A CNA2006100673492A CN200610067349A CN1818707A CN 1818707 A CN1818707 A CN 1818707A CN A2006100673492 A CNA2006100673492 A CN A2006100673492A CN 200610067349 A CN200610067349 A CN 200610067349A CN 1818707 A CN1818707 A CN 1818707A
- Authority
- CN
- China
- Prior art keywords
- field
- diffusion
- determining
- computer
- intensity
- 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.)
- Granted
Links
- 238000009792 diffusion process Methods 0.000 title claims abstract description 74
- 238000012800 visualization Methods 0.000 title claims abstract description 8
- 238000000034 method Methods 0.000 claims abstract description 46
- 239000013598 vector Substances 0.000 claims description 13
- 239000003086 colorant Substances 0.000 claims description 4
- 230000010354 integration Effects 0.000 claims description 4
- 238000010422 painting Methods 0.000 claims 3
- 238000005516 engineering process Methods 0.000 description 7
- 239000000835 fiber Substances 0.000 description 7
- 230000000007 visual effect Effects 0.000 description 7
- 210000004885 white matter Anatomy 0.000 description 6
- 210000004556 brain Anatomy 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000009877 rendering Methods 0.000 description 3
- 210000000877 corpus callosum Anatomy 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002595 magnetic resonance imaging Methods 0.000 description 2
- 238000000465 moulding Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 210000004884 grey matter Anatomy 0.000 description 1
- 210000005171 mammalian brain Anatomy 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000013421 nuclear magnetic resonance imaging Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000007794 visualization technique Methods 0.000 description 1
Images
Classifications
-
- 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; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/08—Volume rendering
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/41—Medical
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Vascular Medicine (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Signal Processing (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
Description
Claims (17)
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US65115505P | 2005-02-09 | 2005-02-09 | |
US60/651155 | 2005-02-09 | ||
US11/347039 | 2006-02-03 | ||
US11/347,039 US8077938B2 (en) | 2005-02-09 | 2006-02-03 | Diffusion tensor surface visualization |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1818707A true CN1818707A (zh) | 2006-08-16 |
CN1818707B CN1818707B (zh) | 2010-12-01 |
Family
ID=36779585
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2006100673492A Expired - Fee Related CN1818707B (zh) | 2005-02-09 | 2006-02-09 | 扩散张量表面显象 |
Country Status (2)
Country | Link |
---|---|
US (1) | US8077938B2 (zh) |
CN (1) | CN1818707B (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101275993A (zh) * | 2006-11-02 | 2008-10-01 | 美国西门子医疗解决公司 | 基于纹理的快速dt-mri张量场可视化系统和方法 |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5654237B2 (ja) * | 2006-12-11 | 2015-01-14 | コーニンクレッカ フィリップス エヌ ヴェ | 巨視的情報に基づくファイバ追跡 |
US9965862B2 (en) * | 2008-08-07 | 2018-05-08 | New York University | System, method and computer accessible medium for providing real-time diffusional kurtosis imaging and for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging |
BR112012028653B1 (pt) | 2010-05-28 | 2020-11-10 | Exxonmobil Upstream Research Company | método para análise sísmica de sistema de hidrocarbonetos |
US9721338B2 (en) | 2011-01-11 | 2017-08-01 | Rutgers, The State University Of New Jersey | Method and apparatus for segmentation and registration of longitudinal images |
US10088596B2 (en) | 2013-03-15 | 2018-10-02 | Schlumberger Technology Corporation | Meshless representation of a geologic environment |
US11145119B2 (en) | 2019-10-18 | 2021-10-12 | Omniscient Neurotechnology Pty Limited | Differential brain network analysis |
CN111145278B (zh) * | 2019-12-31 | 2024-01-09 | 上海联影医疗科技股份有限公司 | 弥散张量图像的颜色编码方法、装置、设备及存储介质 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5625660A (en) * | 1995-06-30 | 1997-04-29 | Picker International, Inc. | Image reconstruction from helical partial cone-beam data |
US6591004B1 (en) * | 1998-09-21 | 2003-07-08 | Washington University | Sure-fit: an automated method for modeling the shape of cerebral cortex and other complex structures using customized filters and transformations |
US6526305B1 (en) * | 1998-11-25 | 2003-02-25 | The Johns Hopkins University | Method of fiber reconstruction employing data acquired by magnetic resonance imaging |
US7355597B2 (en) * | 2002-05-06 | 2008-04-08 | Brown University Research Foundation | Method, apparatus and computer program product for the interactive rendering of multivalued volume data with layered complementary values |
US6806705B2 (en) * | 2002-05-15 | 2004-10-19 | Koninklijke Philips Electronics N.V. | Diffusion tensor magnetic resonance imaging including local weighted interpolation |
US6642716B1 (en) * | 2002-05-15 | 2003-11-04 | Koninklijke Philips Electronics, N.V. | Diffusion tensor magnetic resonance imaging including fiber rendering using hyperstreamlines |
US7034531B1 (en) * | 2003-01-09 | 2006-04-25 | The General Hospital Corporation | Diffusion MRI using spherical shell sampling |
-
2006
- 2006-02-03 US US11/347,039 patent/US8077938B2/en not_active Expired - Fee Related
- 2006-02-09 CN CN2006100673492A patent/CN1818707B/zh not_active Expired - Fee Related
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101275993A (zh) * | 2006-11-02 | 2008-10-01 | 美国西门子医疗解决公司 | 基于纹理的快速dt-mri张量场可视化系统和方法 |
CN101275993B (zh) * | 2006-11-02 | 2012-11-28 | 美国西门子医疗解决公司 | 基于纹理的快速dt-mri张量场可视化系统和方法 |
Also Published As
Publication number | Publication date |
---|---|
CN1818707B (zh) | 2010-12-01 |
US20060176488A1 (en) | 2006-08-10 |
US8077938B2 (en) | 2011-12-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN1818707B (zh) | 扩散张量表面显象 | |
Chen et al. | Noise removal in magnetic resonance diffusion tensor imaging | |
US8076937B2 (en) | Fibre tracking on the basis of macroscopic information | |
US7525543B2 (en) | High performance shading of large volumetric data using screen-space partial derivatives | |
US8731334B2 (en) | Multilevel thresholding for mutual information based registration and image registration using a GPU | |
US20080109171A1 (en) | System and method for stochastic dt-mri connectivity mapping on the gpu | |
US20080112614A1 (en) | Histogram tile map for gpu based histogram computation | |
Li et al. | Automated measurement network for accurate segmentation and parameter modification in fetal head ultrasound images | |
US7602180B2 (en) | System and method for fast texture-based tensor field visualization for DT-MRI | |
CN101887581B (zh) | 图像融合方法及设备 | |
JP2004520923A (ja) | デジタル画像をセグメント化する方法 | |
EP2347391B1 (en) | Visualization and quantization of newly formed vasculature | |
CN1853197A (zh) | 管结构的局部可视化技术的自动定向的方法及系统 | |
WO2009149403A1 (en) | Method and system for explicit control of lighting type in direct volume rendering | |
CN117649400B (zh) | 一种异常检测框架下的影像组学分析方法及系统 | |
CN1836258A (zh) | 采用结构张量来检测肺结节和结肠息肉的方法和系统 | |
US9047695B2 (en) | Transformation method for diffusion spectrum imaging using large deformation diffeomorphic metric mapping | |
Adeshina et al. | Locating abnormalities in brain blood vessels using parallel computing architecture | |
US20120268459A1 (en) | Processing a dataset representing a plurality of pathways in a three-dimensional space | |
Hlawitschka et al. | Fast and memory efficient gpu-based rendering of tensor data | |
Fan et al. | Optimized GPU implementation of learning-based non-rigid multi-modal registration | |
Braggio et al. | VBM sensitivity to localization and extent of mouse brain lesions: a simulation approach | |
Höller et al. | Fiber visualization with LIC maps using multidirectional anisotropic glyph samples | |
You et al. | Automatic cortical surface parcellation in the fetal brain using attention-gated spherical u-net | |
JP4019146B2 (ja) | 拡散テンソル場の構造強調濃淡画像表示方法及び装置 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
ASS | Succession or assignment of patent right |
Owner name: SIEMENS AKTIENGESELLSCHAFT Free format text: FORMER OWNER: SIEMENS CORPORATE RESEARCH, INC. Effective date: 20100727 |
|
C41 | Transfer of patent application or patent right or utility model | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20100727 Address after: new jersey Applicant after: Siemens AG Address before: new jersey Applicant before: Siemens Corporate Research, Inc. |
|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20101201 Termination date: 20160209 |
|
CF01 | Termination of patent right due to non-payment of annual fee |