Extracting skeletal muscle fiber fields from noisy diffusion tensor data

Medical Image Analysis

Volumn 15, Issue 3, 2011, Pages 340-353

  Levin, David I W ^a   Gilles, Benjamin ^a   Mädler, Burkhard ^a   Pai, Dinesh K ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Diffusion tensor imaging; Fiber estimation; Image processing; Musculoskeletal; Noise removal

Indexed keywords

ARCHITECTURAL PROPERTIES; DATA SETS; DE-NOISING; DE-NOISING ALGORITHM; DIFFUSION TENSOR; DIFFUSION TENSOR IMAGES; DIFFUSION TENSOR IMAGING; EIGENVECTORS; FIBER ARCHITECTURE; FIBER DIRECTION; GROUND TRUTH; HELMHOLTZ-HODGE DECOMPOSITION; HUMAN FOREARMS; KEY FEATURE; LOW SIGNAL-TO-NOISE RATIO; MUSCLE FIBER; MUSCULOSKELETAL; NOISE REMOVAL; NON-INVASIVE; SIGNAL TO NOISE; SKELETAL MUSCLE; SKELETAL MUSCLE FIBERS; SMOOTHING PARAMETER; SYNTHETIC DATA; TENSOR FIELDS; VECTOR FIELDS;

ALGORITHMS; DIFFUSION; EIGENVALUES AND EIGENFUNCTIONS; FIBERS; IMAGE MATCHING; IMAGE PROCESSING; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; MUSCLE; NOISE POLLUTION CONTROL; SIGNAL TO NOISE RATIO; VECTORS;

TENSORS;

ALGORITHM; ARTICLE; DIFFUSION TENSOR IMAGING; FOREARM; HUMAN; HUMAN CELL; HUMAN TISSUE; MUSCLE CELL; NOISE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; RADIATION FIELD; SIGNAL NOISE RATIO; SKELETAL MUSCLE;

ALGORITHMS; ARTIFACTS; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MUSCLE FIBERS, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79952439655     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2011.01.005     Document Type: Article

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