Diffusion MRI registration using orientation distribution functions

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

Volumn 5636 LNCS, Issue , 2009, Pages 626-637

  Geng, Xiujuan ^a   Ross, Thomas J ^a   Zhan, Wang ^b   Gu, Hong ^a   Chao, Yi Ping ^c   Lin, Ching Po ^d   Christensen, Gary E ^e   Schuff, Norbert ^b   Yang, Yihong ^a  

^a NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

^e IA United States   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC SOLUTION; DATA SETS; DIFFUSION-WEIGHTED MRI; ELASTIC REGISTRATION; FIBER CROSSINGS; FIBER DIRECTION; JACOBIANS; LINEAR ELASTIC; ORIENTATION DISTRIBUTION FUNCTION; Q-BALL IMAGING; REGISTRATION METHODS; SHAPE DIFFERENCE; SHAPE DISTANCES; SPHERICAL HARMONIC COEFFICIENT; SPHERICAL HARMONICS; SYNTHETIC AND REAL DATA;

COMPUTATIONAL COMPLEXITY; DATA PROCESSING; DIFFUSION; HARMONIC ANALYSIS; JACOBIAN MATRICES; MEDICAL IMAGING; SPHERES;

DISTRIBUTION FUNCTIONS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 70349313283     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_52     Document Type: Conference Paper

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