Cheng, Hu, Newman, Sharlene, Afzali Deligani, Maryam, Fadnavis, Shreyas Sanjeev and Garyfallidis, Eletherios 2020. Segmentation of the brain using direction-averaged signal of DWI images. Magnetic Resonance Imaging 69 , pp. 1-7. 10.1016/j.mri.2020.02.010 |
![]() |
PDF
- Accepted Post-Print Version
Download (255kB) |
Abstract
Segmentation of brain tissue in diffusion MRI image space has some unique advantages. A novel segmentation method using the direction-averaged diffusion weighted imaging (DWI) signal is proposed. Two images can be obtained from the fitting of the direction-averaged DWI signal as a function of b-value: one with superior contrast between the gray matter and white matter; one with prominent CSF contrast. A pseudo T1 weighted image can be constructed and standard segmentation tools can be applied. The method was tested on the HCP dataset using SPM12, and showed good agreement with segmentation using the T1 weighted image with the same resolution. The Dice score was all greater than 0.88 for GM or WM with full DWI data and very stable against subsampling of the DWI data in number of diffusion directions, number of shells, and spatial resolution.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Psychology Cardiff University Brain Research Imaging Centre (CUBRIC) |
Publisher: | Elsevier |
ISSN: | 0730-725X |
Date of First Compliant Deposit: | 25 February 2020 |
Date of Acceptance: | 18 February 2020 |
Last Modified: | 04 Dec 2024 15:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/129958 |
Citation Data
Cited 12 times in Scopus. View in Scopus. Powered By ScopusĀ® Data
Actions (repository staff only)
![]() |
Edit Item |