Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps.

Details

Serval ID
serval:BIB_AFCF028C8BE7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps.
Journal
NeuroImage
Author(s)
Helms G., Draganski B., Frackowiak R., Ashburner J., Weiskopf N.
ISSN
1095-9572[electronic]
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
47
Number
1
Pages
194-198
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Basal ganglia and brain stem nuclei are involved in the pathophysiology of various neurological and neuropsychiatric disorders. Currently available structural T1-weighted (T1w) magnetic resonance images do not provide sufficient contrast for reliable automated segmentation of various subcortical grey matter structures. We use a novel, semi-quantitative magnetization transfer (MT) imaging protocol that overcomes limitations in T1w images, which are mainly due to their sensitivity to the high iron content in subcortical grey matter. We demonstrate improved automated segmentation of putamen, pallidum, pulvinar and substantia nigra using MT images. A comparison with segmentation of high-quality T1w images was performed in 49 healthy subjects. Our results show that MT maps are highly suitable for automated segmentation, and so for multi-subject morphometric studies with a focus on subcortical structures.
Keywords
Adolescent, Adult, Aged, Aged, 80 and over, Automatic Data Processing, Brain/anatomy & histology, Female, Globus Pallidus/anatomy & histology, Humans, Magnetic Resonance Imaging/methods, Male, Middle Aged, Nerve Fibers, Myelinated, Probability, Putamen/anatomy & histology, Substantia Nigra/anatomy & histology, Thalamus/anatomy & histology, Young Adult
Pubmed
Web of science
Open Access
Yes
Create date
11/01/2010 14:08
Last modification date
20/08/2019 16:19
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