University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Analyzing diffusion tensor images with ghosting artifacts: the effects of direct and indirect normalization.

Shen, S and Sterr, A (2010) Analyzing diffusion tensor images with ghosting artifacts: the effects of direct and indirect normalization. Magnetic Resonance Imaging, 28 (10). pp. 1507-1513.

[img] PDF
Shan STERR 2010 Analizing diffusion tensor images.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (452kB)
[img] PDF (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only

Download (33kB)

Abstract

The current study aims to assess the applicability of direct or indirect normalization for the analysis of fractional anisotropy (FA) maps in the context of diffusion-weighted images (DWIs) contaminated by ghosting artifacts. We found that FA maps acquired by direct normalization showed generally higher anisotropy than indirect normalization, and the disparities were aggravated by the presence of ghosting artifacts in DWIs. The voxel-wise statistical comparisons demonstrated that indirect normalization reduced the influence of artifacts and enhanced the sensitivity of detecting anisotropy differences between groups. This suggested that images contaminated with ghosting artifacts can be sensibly analyzed using indirect normalization.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences
Faculty of Arts and Social Sciences
Authors :
AuthorsEmailORCID
Shen, SUNSPECIFIEDUNSPECIFIED
Sterr, AUNSPECIFIEDUNSPECIFIED
Date : December 2010
Identification Number : https://doi.org/10.1016/j.mri.2010.06.010
Uncontrolled Keywords : Adult, Aged, Algorithms, Artifacts, Brain, Diffusion Magnetic Resonance Imaging, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Middle Aged, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Stroke, Subtraction Technique, Young Adult
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:50
Last Modified : 28 Mar 2017 15:50
URI: http://epubs.surrey.ac.uk/id/eprint/327559

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800