A geometric flow-based approach for diffusion tensor image segmentation

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 366, Issue 1874, 2008, Pages 2279-2292

  Guo, Weihong ^a   Chen, Yunmei ^b   Zeng, Qingguo ^b  

^a UNIVERSITY OF ALABAMA   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Consistency; Diffusion tensor magnetic resonance imaging; Geometric flow; Level set; Segmentation

Indexed keywords

ATOMS; COVARIANCE MATRIX; CRACK PROPAGATION; DIFFUSION; GAUSSIAN DISTRIBUTION; GEOMETRY; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING TECHNIQUES; LEARNING SYSTEMS; MAGNETIC FIELDS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETISM; MATHEMATICAL MODELS; MATRIX ALGEBRA; RESONANCE; SEMICONDUCTOR DOPING; SET THEORY; THREE DIMENSIONAL;

(1 1 0) SURFACE; (R ,S)-SYMMETRIC; CONSISTENCY MEASURES; DIFFUSION TENSOR (DT) IMAGES; DIFFUSION TENSORS (DT); DIFFUSION-TENSOR (DT ); DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING; DIFFUSION-WEIGHTED MAGNETIC RESONANCE; EXPERIMENTAL RESULTS; FRONT PROPAGATION; GAUSSIAN PROCESS (GP); HUMAN BRAINS; LINEAR COMBINATION (LC); MOTION OF WATER; NOISE EFFECTS; NORMAL DIRECTION; POSITIVE DEFINITE MATRICES; SIMILARITY MEASURING; SPEED UPS; THREE DIMENSIONAL (3D); WHITE MATTER (WM); ZERO MEAN;

TENSORS;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; BIOMETRY; BRAIN; CORPUS CALLOSUM; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE PROCESSING; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; BIOMETRY; BRAIN; CORPUS CALLOSUM; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, STATISTICAL;

EID: 45749156477     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2008.0042     Document Type: Article

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