Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities

NeuroImage

Phoebe Imms¹  Adam Clemente²  Ian Fuelscher³  David N. Vaughan³  Karen Caeyenberghs⁴  Julien Zanin⁵  Atul Malhotra⁵  Frederique Boonstra⁶  Melissa Kirkovski⁶  Sanuji Gajamange⁶  Sila Genc⁶  Remika Mito⁶  Natalia Egorova⁶  Oren Civier⁷  Govinda Poudel⁷  David Raffelt⁸  Christian Hyde⁹  Xiaoyun Liang⁹  Thijs Dhollander⁹  Claire Kelly^1,10  Tim J. Silk^1,11  Mervyn Singh^1,11  Scott Kolbe^1,11  Peter Enticott^1,12  Juan Dominguez Duque^1,13  Elie Gottlieb^1,14 

[1] Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Wales, United Kingdom;Corresponding author: Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC 3052, Australia;Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia;Monash Newborn, Monash Children's Hospital, Melbourne, Victoria, Australia;Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Victoria, Australia;Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia;Department of Neuroscience, Central Clinical School, Monash University, Prahran, Victoria, Australia;Department of Paediatrics, Monash University, Melbourne, Victoria, Australia;Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia;Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia;Mary MacKillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia;Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia;Swinburne Neuroimaging, Swinburne University of Technology, Melbourne, Victoria, Australia;The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia;

关键词: Fixel-Based Analysis;    Diffusion MRI;    Fixel;    White matter;    Microstructure;    Fibre density;   

DOI  :  

来源: DOAJ

【 摘 要 】

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 valuable, such fibre-specific information poses unique challenges for typical image processing pipelines and statistical analysis. In this work, we review the “Fixel-Based Analysis” (FBA) framework, which implements bespoke solutions to this end. It has recently seen a stark increase in adoption for studies of both typical (healthy) populations as well as a wide range of clinical populations. We describe the main concepts related to Fixel-Based Analyses, as well as the methods and specific steps involved in a state-of-the-art FBA pipeline, with a focus on providing researchers with practical advice on how to interpret results. We also include an overview of the scope of all current FBA studies, categorized across a broad range of neuro-scientific domains, listing key design choices and summarizing their main results and conclusions. Finally, we critically discuss several aspects and challenges involved with the FBA framework, and outline some directions and future opportunities.

【 授权许可】

Unknown