Comparison of quality control software tools for diffusion tensor imaging

Magnetic Resonance Imaging

Volumn 33, Issue 3, 2015, Pages 276-285

  Liu, Bilan ^a   Zhu, Tong ^b   Zhong, Jianhui ^b  

^a University of Rochester   (United States)

^b UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Artifact; Diffusion tensor imaging (DTI); DTIprep; DTIstudio; Quality control; TORTOISE

Indexed keywords

ARTICLE; ARTIFACT REDUCTION; COMPARATIVE STUDY; CONTROLLED STUDY; DATA ANALYSIS; DIFFUSION TENSOR IMAGING; FRACTIONAL ANISOTROPY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SOFTWARE; MEAN DIFFUSIVITY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE SCANNER; PHYSICAL PARAMETERS; PRIORITY JOURNAL; QUALITY CONTROL SOFTWARE; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; ALGORITHM; ANISOTROPY; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; DIFFUSION WEIGHTED IMAGING; IMAGE ENHANCEMENT; MOTION; PROCEDURES; QUALITY CONTROL; REPRODUCIBILITY;

ALGORITHMS; ANISOTROPY; ARTIFACTS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MONTE CARLO METHOD; MOTION; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84924871880     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2014.10.011     Document Type: Article

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