Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
Thijs Dhollander, Adam Clemente, Mervyn Singh, Frederique Boonstra, Oren Civier, Juan Dominguez Duque, Natalia Egorova, Peter Enticott, Ian Fuelscher, Sanuji Gajamange, Sila Genc, Elie Gottlieb, Christian Hyde, Phoebe Imms, Claire Kelly, Melissa Kirkovski, Scott Kolbe, Xiaoyun Liang, Atul Malhotra, Remika Mito Show all
NEUROIMAGE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2021
Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude smaller than typical voxel sizes. The key to extracting such valuable information lies in complex modelling techniques, which form the link between the rich diffusion MRI data and various metrics related to the microstructural organization. Over time, increasingly advanced techniques have been developed, up to the point where some diffusion MRI models can now provide access to properties specific to individual fibre populations in each voxel in the presence of multiple "crossing" fibre pathways. While highly valu..View full abstract
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Awarded by Australian Research Council
Awarded by National Health and Medical Research Council Career Development Fellowship
TD, SiG, CK, XL and TS acknowledge the support of the Murdoch Children's Research Institute, the Royal Children's Hospital Foundation, Department of Paediatrics at The University of Melbourne and the Victorian Government's Operational Infrastructure Support Program. OC acknowledges the facilities and scientific and technical assistance of the National Imaging Facility, a National Collaborative Research Infrastructure Strategy (NCRIS) capability, at Swinburne Neuroimaging, Swinburne University of Technology. NE is supported by the Discovery Early Career Researcher Award Fellowship from the Australian Research Council (DE180100893). PE is supported by a Future Fellowship from the Australian Research Council (FT160100077). XL and GP are funded by an Australian Catholic University Research Funding (ACURF) Program Grant. RM and DV acknowledge the facilities and scientific and technical assistance of the National Imaging Facility, a National Collaborative Research Infrastructure Strategy (NCRIS) capability, at the Florey Institute of Neuroscience and Mental Health. KC is supported by a National Health and Medical Research Council Career Development Fellowship (APP1143816). We thank Honey Baseri for assistance with the compilation of reference lists, and John Engel and Laura Dal Pozzo for help with figure construction.