Efficient and robust computation of PDF features from diffusion MR signal

Medical Image Analysis

Volumn 13, Issue 5, 2009, Pages 715-729

  Assemlal, Haz Edine ^a   Tschumperlé, David ^a   Brun, Luc ^a  

^a Centre National de la Recherche Scientifique   (France)

Author keywords

Diffusion MRI; Gaussian Laguerre; Rician noise; Spherical harmonics; Variational framework

Indexed keywords

DATA SETS; DIFFUSION MAGNETIC RESONANCE IMAGING; DISPLACEMENT PROBABILITY; FEATURE ESTIMATION; FINITE DIMENSIONAL SPACE; GAUSSIAN-LAGUERRE; GAUSSIANS; IN-VIVO; LAGUERRE; MICRO ARCHITECTURES; MR SIGNALS; NUMBER OF SAMPLES; RICIAN NOISE; ROBUST COMPUTATION; SERIES EXPANSION; SPHERICAL HARMONICS; VARIATIONAL FRAMEWORK;

DIFFUSION; ESTIMATION; HARMONIC ANALYSIS; MAGNETIC RESONANCE IMAGING; PROBABILITY DISTRIBUTIONS; SPHERES;

PROBABILITY DENSITY FUNCTION;

ACCURACY; ANISOTROPY; ARTICLE; CALCULATION; DIFFUSION WEIGHTED IMAGING; FOURIER TRANSFORMATION; IMAGE ANALYSIS; IMAGE QUALITY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; PHANTOM; PRIORITY JOURNAL; PROBABILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SIMULATION;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 68849127191     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.06.004     Document Type: Article

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