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A computational framework to quantify tissue microstructural integrity using conventional MRI macrostructural volumetry

delete2011-12-01
delete7
PRE
AI
I
Indika S. Walimuni
H
Humaira Abid
K
Khader M. Hasan *
DOI:10.1016/j.compbiomed.2010.10.009delete
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摘要

摘要

En 中文
In this work, we present a framework to fuse and quantify tissue microstructural attributes (e.g. diffusion, functional, relaxation and perfusion MRI) using high spatial resolution T1-weighted volumetric measurements. The proposed computational procedures can be implemented by utilizing advanced, image segmentation, registration and diffusion tensor image processing software. Feasibility of the framework is also demonstrated using in-house developed software and freely available software such as FreeSurfer for regional tissue segmentation, Advanced Normalization Tools (ANTs) for registration and DTIStudio for fiber tracking and diffusion tensor data processing. We also demonstrate the application of these methods in the provision of quality control measures to assess the fidelity of tissue segmentation and multi-modal MRI registration. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Diffusion tensor imaging
DTI
FreeSurfer
Conventional MRI
cMRI
Relaxation
Segmentation
Registration
ANTS
FSL
FNIRT
Quality control
Brain atlas
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期刊

Computers in Biology and Medicine 封面图
Computers in Biology and Medicine
IF:
6.3
论文数:
8.3K
被引数:
3.3W

机构

U
university of texas system
学者数:
18.5W
论文数: 15.6W
被引数: 210
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