Model-free, regularized, fast, and robust analytical orientation distribution function estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 648-656

  Cheng, Jian ^a,b   Ghosh, Aurobrata ^b   Deriche, Rachid ^b   Jiang, Tianzi ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; DIFFUSION SPECTRA; DIFFUSION TENSOR IMAGING; EXPONENTIAL DECAYS; FIBER DIRECTION; FOURIER; HIGH ANGULAR RESOLUTIONS; LINEAR TRANSFORMATION; LOW ANISOTROPY; LOW SNR; MODEL FREE; MODELING ERRORS; NONEXPONENTIAL DECAYS; ORIENTATION DISTRIBUTION FUNCTION; PHANTOM DATA; Q-BALL IMAGING; Q-SPACE; RADON TRANSFORM; SPHERICAL HARMONICS; SYNTHETIC DATA; TENSOR MODEL; WHITE MATTER;

DISTRIBUTION FUNCTIONS; HARMONIC ANALYSIS; LINEAR TRANSFORMATIONS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; TENSORS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NERVE FIBER; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; AXONS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 84864844975     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_79     Document Type: Conference Paper

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