Segmentation of the brain using direction-averaged signal of DWI images

被引：13

作者：

Cheng, Hu ^{[1
,2
]}

Newman, Sharlene ^{[1
,2
]}

Afzali, Maryam ^{[4
]}

Fadnavis, Shreyas Sanjeev ^{[3
]}

Garyfallidis, Eleftherios ^{[2
,3
]}

机构：

[1] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA

[2] Indiana Univ, Program Neurosci, Bloomington, IN 47405 USA

[3] Indiana Univ, Dept Intelligent Syst Engn, Bloomington, IN 47405 USA

[4] Cardiff Univ, Brain Res Imaging Ctr, Cardiff CF24 4HQ, Wales

来源：

MAGNETIC RESONANCE IMAGING | 2020年 / 69卷

基金：

英国惠康基金;

关键词：

Segmentation; Diffusion MRI; Gray matter; White matter; CSF; Direction-averaged; DIFFUSION; MODELS;

D O I：

10.1016/j.mri.2020.02.010

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：1 / 7

页数：7

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