Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Assessing the performance of different DTI motion correction strategies in the presence of EPI distortion correction
Human Brain Mapping, Volume 37, No. 12, Year 2016
Notification
URL copied to clipboard!
Description
Diffusion tensor imaging (DTI) is susceptible to several artifacts due to eddy currents, echo planar imaging (EPI) distortion and subject motion. While several techniques correct for individual distortion effects, no optimal combination of DTI acquisition and processing has been determined. Here, the effects of several motion correction techniques are investigated while also correcting for EPI distortion: prospective correction, using navigation; retrospective correction, using two different popular packages (FSL and TORTOISE); and the combination of both methods. Data from a pediatric group that exhibited incidental motion in varying degrees are analyzed. Comparisons are carried while implementing eddy current and EPI distortion correction. DTI parameter distributions, white matter (WM) maps and probabilistic tractography are examined. The importance of prospective correction during data acquisition is demonstrated. In contrast to some previous studies, results also show that the inclusion of retrospective processing also improved ellipsoid fits and both the sensitivity and specificity of group tractographic results, even for navigated data. Matches with anatomical WM maps are highest throughout the brain for data that have been both navigated and processed using TORTOISE. The inclusion of both prospective and retrospective motion correction with EPI distortion correction is important for DTI analysis, particularly when studying subject populations that are prone to motion. Hum Brain Mapp 37:4405–4424, 2016. © 2016 Wiley Periodicals, Inc.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC5118068/bin/HBM-37-4405-s001.pdf
Authors & Co-Authors
Taylor, Paul A.
South Africa, Cape Town
Faculty of Health Sciences
South Africa, Muizenberg
African Institute for Mathematical Sciences
United States, Bethesda
National Institutes of Health Nih
Alhamud, Alkathafi A.
South Africa, Cape Town
Faculty of Health Sciences
van der Kouwe, André J.W. J.W.
United States, Boston
Massachusetts General Hospital
Saleh, Muhammad G.
South Africa, Cape Town
Faculty of Health Sciences
Laughton, Barbara
South Africa, Stellenbosch
Stellenbosch University
Meintjes, Ernesta M.
South Africa, Cape Town
Faculty of Health Sciences
Statistics
Citations: 42
Authors: 6
Affiliations: 5
Identifiers
Doi:
10.1002/hbm.23318
ISSN:
10659471
e-ISSN:
10970193
Study Design
Cohort Study