SCOPUS 정보 검색 플랫폼

Journal of Neuroscience Methods

Volumn 184, Issue 2, 2009, Pages 375-379

Genetic white matter fiber tractography with global optimization

(6) Wu, Xi a,b,c Xu, Qing c,d Xu, Lei c,d Zhou, Jiliu a Anderson, Adam W c,e Ding, Zhaohua c,d,e

a SICHUAN UNIVERSITY (China)

b CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY (China)

c VANDERBILT UNIVERSITY (United States)

d VANDERBILT UNIVERSITY (United States)

e VANDERBILT UNIVERSITY (United States)

Author keywords

Diffusion tensor imaging; Fiber tracking; Genetic algorithm; Global optimization

Indexed keywords

ARTICLE; ARTIFACT REDUCTION; BAYES THEOREM; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; FEASIBILITY STUDY; GENETIC ALGORITHM; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; NOISE REDUCTION; NON INVASIVE MEASUREMENT; NORMAL HUMAN; PRIORITY JOURNAL; PROCESS OPTIMIZATION; WHITE MATTER;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; GENETIC TECHNIQUES; GENETICS; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MATHEMATICS; MODELS, THEORETICAL; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 70350031078 PISSN: 01650270 EISSN: None Source Type: Journal
DOI: 10.1016/j.jneumeth.2009.07.032 Document Type: Article

Times cited : (14)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.