Advances in functional and structural MR image analysis and implementation as FSL.
The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).
Smith
Stephen M
SM
Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Department of Clinical Neurology, John Radcliffe Hospital, Oxford University, Headington, Oxford OX3 9DU, UK. steve@fmrib.ox.ac.uk
Jenkinson
Mark
M
Woolrich
Mark W
MW
Beckmann
Christian F
CF
Behrens
Timothy E J
TE
Johansen-Berg
Heidi
H
Bannister
Peter R
PR
De Luca
Marilena
M
Drobnjak
Ivana
I
Flitney
David E
DE
Niazy
Rami K
RK
Saunders
James
J
Vickers
John
J
Zhang
Yongyue
Y
De Stefano
Nicola
N
Brady
J Michael
JM
Matthews
Paul M
PM
D001499:Bayes Theorem; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology; D016208:Databases, Factual; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data*; D008959:Models, Neurological; D015233:Models, Statistical; D012984:Software