NDLI: Distance-based tractography in high angular resolution diffusion MRI

Content Provider	Springer Nature Link
Author	Röttger, Diana Seib, Viktor Müller, Stefan
Copyright Year	2011
Abstract	High angular resolution diffusion imaging (HARDI) is a magnetic resonance imaging (MRI) technique, determining the diffusion of water molecules in tissue in vivo. HARDI is advantageous over the well-known diffusion tensor imaging (DTI), since it is able to extract more than one fiber orientation within a voxel and can therefore resolve crossing, kissing or fanning fiber tracts. However, multiple orientations per voxel require more sophisticated tractography approaches. In this paper we introduce a new deterministic fiber tracking method using the complete orientation distribution function (ODF) reconstructed from Q-ball imaging to enable tractography in challenging regions. Anisotropy classifiers are used to differentiate intra-voxel fiber populations and adjust a curvature threshold for one and multiple fiber configurations, respectively. In addition, we determine the most appropriate propagation direction in complex white matter regions, using the course of the current tract. To ensure tractography running within fiber bundles, a distance-based approach is integrated, which aims to maintain the initial distance of the seed point to the white matter boundary through the whole tracking. We evaluated our method using a phantom dataset featuring crossing, kissing and fanning fiber configurations and a human brain dataset, reconstructing the fanning of the corpus callosum and considering the region of the centrum semiovale.
Starting Page	729
Ending Page	738
Page Count	10
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	27
Issue Number	6-8
e-ISSN	14322315
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	High angular resolution diffusion imaging Diffusion weighted magnetic resonance imaging Tractography Tracking White matter Image Processing and Computer Vision Computer Graphics Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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