NDLI: Optimization of image preprocessing for diffusion tensor magnetic resonance imaging

Content Provider	IEEE Xplore Digital Library
Author	Gang Liu Li Yao Xiaojie Zhao
Copyright Year	2010
Description	Author affiliation: College of Information Science and Technology, Beijing Normal University, China, 100088 (Gang Liu; Li Yao; Xiaojie Zhao)
Abstract	Diffusion tensor magnetic resonance imaging (DT-MRI) data should be preprocessed before they are used to analyses for searching white matter fiber structure of human brain. Fractional anisotropy (FA) calculated by DTI data has been widely used because it can describe the anisotropy prosperity of white matter. This paper presents some evaluation criterions to optimize the image preprocessing procedure. Spatial normalization and smoothing are main steps in the procedure. For assessing the normalization, we compute the coherence of principal eignvectors after they are normalized. To test the ideal smoothing parameters, we use Shapiro-Wilk (SW) test to exam the normality of smoothed FA. Based on our assessment, suitable methods and parameters will be achieved and the optimized image processing procedure can help us know more information about white matter changes. In this paper, we used these methods to analyze DTI data of Alzheimer disease patients and matched normal controls
Starting Page	4139
Ending Page	4142
File Size	513309
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	assessment Smoothing methods Tensile stress Anisotropic magnetoresistance Humans Diffusion tensor magnetic resonance imaging Coherence normalize fractional anisotropy Diffusion tensor imaging smooth
Content Type	Text
Resource Type	Article

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