Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

NeuroImage

Volumn 80, Issue , 2013, Pages 80-104

  Uǧurbil, Kamil ^a   Xu, Junqian ^a,b   Auerbach, Edward J ^a   Moeller, Steen ^a   Vu, An T ^a   Duarte Carvajalino, Julio M ^a   Lenglet, Christophe ^a   Wu, Xiaoping ^a   Schmitter, Sebastian ^a   Van de Moortele, Pierre Francois ^a   Strupp, John ^a   Sapiro, Guillermo ^a,c   De Martino, Federico ^a,d   Wang, Dingxin ^a,e   Harel, Noam ^a   Garwood, Michael ^a   Chen, Liyong ^f,g   Feinberg, David A ^f,g   Smith, Stephen M ^h   Miller, Karla L ^h   Sotiropoulos, Stamatios N ^h   Jbabdi, Saad ^h   Andersson, Jesper L R ^h   Behrens, Timothy E J ^h,i   Glasser, Matthew F ^j   Van Essen, David C ^j   Yacoub, Essa ^a   more..

^a UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^c USA   (United States)

^d MAASTRICHT UNIVERSITY   (Netherlands)

^e SIEMENS CORPORATE RESEARCH   (United States)

^f Advanced MRI Technologies   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h UNIVERSITY OF OXFORD   (United Kingdom)

ⁱ UNIVERSITY COLLEGE LONDON   (United Kingdom)

^j WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOMEDICINE; BOLD SIGNAL; BRAIN FUNCTION; BRAIN RADIOGRAPHY; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; DIFFUSION WEIGHTED IMAGING; ECHO PLANAR IMAGING; ECHO VOLUME IMAGING; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN CONNECTOME PROJECT; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING SYSTEM; MAGNETIC FIELD; METHODOLOGY; NERVE FIBER; NEUROANATOMY; NEUROMODULATION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; THREE DIMENSIONAL IMAGING; TRACTOGRAPHY;

ANIMALS; BRAIN; CONNECTOME; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET; SPATIO-TEMPORAL ANALYSIS;

EID: 84880328621     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.012     Document Type: Article

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