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

Helms, Gunther LU orcid ; Draganski, Bogdan ; Frackowiak, Richard ; Ashburner, John and Weiskopf, Nikolaus (2009) In NeuroImage 47(1). p.194-198
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

... (More)
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. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
NeuroImage
volume
47
issue
1
pages
194 - 198
publisher
Elsevier
external identifiers
  • scopus:67349261098
  • pmid:19344771
ISSN
1095-9572
DOI
10.1016/j.neuroimage.2009.03.053
language
English
LU publication?
yes
additional info
1
id
107f1f99-fb90-4674-a773-72b6d65050db (old id 8773612)
alternative location
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694257/
date added to LUP
2016-04-01 12:30:35
date last changed
2021-09-01 04:53:31
@article{107f1f99-fb90-4674-a773-72b6d65050db,
  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<br/><br>
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<br/><br>
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.},
  author       = {Helms, Gunther and Draganski, Bogdan and Frackowiak, Richard and Ashburner, John and Weiskopf, Nikolaus},
  issn         = {1095-9572},
  language     = {eng},
  number       = {1},
  pages        = {194--198},
  publisher    = {Elsevier},
  series       = {NeuroImage},
  title        = {Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps},
  url          = {http://dx.doi.org/10.1016/j.neuroimage.2009.03.053},
  doi          = {10.1016/j.neuroimage.2009.03.053},
  volume       = {47},
  year         = {2009},
}