title: Multimodal neuroimaging computing: the workflows, methods, and platforms.
abstract: The last two decades have witnessed the explosive growth in the development and use of noninvasive neuroimaging technologies that advance the research on human brain under normal and pathological conditions. Multimodal neuroimaging has become a major driver of current neuroimaging research due to the recognition of the clinical benefits of multimodal data, and the better access to hybrid devices. Multimodal neuroimaging computing is very challenging, and requires sophisticated computing to address the variations in spatiotemporal resolution and merge the biophysical/biochemical information. We review the current workflows and methods for multimodal neuroimaging computing, and also demonstrate how to conduct research using the established neuroimaging computing packages and platforms.
authors.affiliation: School of IT, The University of Sydney, Sydney, Australia. sliu7418@uni.sydney.edu.au.
authors.forename: Sidong
authors.identifier: http://orcid.org/0000-0002-2371-0713
authors.initials: S
authors.lastname: Liu
authors.affiliation: School of IT, The University of Sydney, Sydney, Australia.
authors.forename: Weidong
authors.initials: W
authors.lastname: Cai
authors.affiliation: School of IT, The University of Sydney, Sydney, Australia.
authors.forename: Siqi
authors.initials: S
authors.lastname: Liu
authors.affiliation: School of IT, The University of Sydney, Sydney, Australia.|Surgical Planning Laboratory, Harvard Medical School, Boston, USA.
authors.forename: Fan
authors.initials: F
authors.lastname: Zhang
authors.affiliation: Department of PET and Nuclear Medicine, Royal Prince Alfred Hospital, Sydney Medical School, The University of Sydney, Sydney, Australia.
authors.forename: Michael
authors.initials: M
authors.lastname: Fulham
authors.affiliation: School of IT, The University of Sydney, Sydney, Australia.|Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
authors.forename: Dagan
authors.initials: D
authors.lastname: Feng
authors.affiliation: Surgical Planning Laboratory, Harvard Medical School, Boston, USA.
authors.forename: Sonia
authors.initials: S
authors.lastname: Pujol
authors.affiliation: Surgical Planning Laboratory, Harvard Medical School, Boston, USA.
authors.forename: Ron
authors.initials: R
authors.lastname: Kikinis
keywords: Medical image computing; Multimodal; Neuroimaging