Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

NeuroImage

Volumn 166, Issue , 2018, Pages 400-424

  Alfaro Almagro, Fidel ^a   Jenkinson, Mark ^a   Bangerter, Neal K ^b   Andersson, Jesper L R ^a   Griffanti, Ludovica ^a   Douaud, Gwenaëlle ^a   Sotiropoulos, Stamatios N ^a,c   Jbabdi, Saad ^a   Hernandez Fernandez, Moises ^a   Vallee, Emmanuel ^a   Vidaurre, Diego ^a   Webster, Matthew ^a   McCarthy, Paul ^a   Rorden, Christopher ^d   Daducci, Alessandro ^e,f   Alexander, Daniel C ^g   Zhang, Hui ^g   Dragonu, Iulius ^h   Matthews, Paul M ^i,j   Miller, Karla L ^a   Smith, Stephen M ^a   more..

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b BRIGHAM YOUNG UNIVERSITY   (United States)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

^e UNIVERSITY OF VERONA   (Italy)

^f University Hospital Center   (Switzerland)

^g UNIVERSITY COLLEGE LONDON   (United Kingdom)

^h Caernarfon   (United Kingdom)

ⁱ IMPERIAL COLLEGE LONDON   (United Kingdom)

^j DEMENTIA UK   (United Kingdom)

more..

Author keywords

Big data imaging; Epidemiological studies; Image analysis pipeline; Machine learning; Multi modal data integration; Quality control

Indexed keywords

ARTICLE; AUTOMATION; BIOBANK; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING AND DISPLAY; INFORMATION RETRIEVAL; NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING; NEUROIMAGING; PRIORITY JOURNAL; QUALITY CONTROL; SKELETON; SUSCEPTIBILITY WEIGHTED IMAGING; UNITED KINGDOM; BRAIN; DIAGNOSTIC IMAGING; FACTUAL DATABASE; INFORMATION PROCESSING; MACHINE LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; STANDARDS;

BRAIN; DATABASES, FACTUAL; DATASETS AS TOPIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; QUALITY CONTROL; UNITED KINGDOM;

EID: 85034842645     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2017.10.034     Document Type: Article

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