A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.

ABSTRACT: Diffusion MRI has the potential to provide important information about the connectivity and microstructure of the human brain during normal and abnormal development, noninvasively and in vivo. Recent developments in MRI hardware and reconstruction methods now permit the acquisition of large amounts of data within relatively short scan times. This makes it possible to acquire more informative multi-shell data, with diffusion sensitisation applied along many directions over multiple b-value shells. Such schemes are characterised by the number of shells acquired, and the specific b-value and number of directions sampled for each shell. However, there is currently no clear consensus as to how to optimise these parameters. In this work, we propose a means of optimising multi-shell acquisition s

SUBMITTER: Tournier JD 

PROVIDER: S-EPMC7116416 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature