English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Development and evaluation of an algorithm for the computer-assisted segmentation of the human hypothalamus on 7-Tesla magnetic resonance images

Schindler, S., Schönknecht, P., Schmidt, L., Anwander, A., Strauß, M., Trampel, R., et al. (2013). Development and evaluation of an algorithm for the computer-assisted segmentation of the human hypothalamus on 7-Tesla magnetic resonance images. PLoS One, 8(7): e66394. doi:10.1371/journal.pone.0066394.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-FBCA-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-8426-D
Genre: Journal Article

Files

show Files
hide Files
:
Schindler_DevelopentEvaluation.pdf (Publisher version), 794KB
Name:
Schindler_DevelopentEvaluation.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2013
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Schindler, Stephanie1, Author              
Schönknecht, Peter1, Author
Schmidt, Laura1, Author
Anwander, Alfred2, Author              
Strauß, Maria1, Author
Trampel, Robert3, Author              
Bazin, Pierre-Louis3, Author              
Möller, Harald E.4, Author              
Hegerl, Ulrich1, Author
Turner, Robert3, Author              
Geyer, Stefan3, Author              
Affiliations:
1Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Germany, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
3Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
4Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

Content

show
hide
Free keywords: -
 Abstract: Post mortem studies have shown volume changes of the hypothalamus in psychiatric patients. With 7T magnetic resonance imaging this effect can now be investigated in vivo in detail. To benefit from the sub-millimeter resolution requires an improved segmentation procedure. The traditional anatomical landmarks of the hypothalamus were refined using 7T T1-weighted magnetic resonance images. A detailed segmentation algorithm (unilateral hypothalamus) was developed for colour-coded, histogram-matched images, and evaluated in a sample of 10 subjects. Test-retest and inter-rater reliabilities were estimated in terms of intraclass-correlation coefficients (ICC) and Dice’s coefficient (DC). The computer-assisted segmentation algorithm ensured test-retest reliabilities of ICC ≥ .97 (DC ≥ 96.8) and inter-rater reliabilities of ICC ≥ .94 (DC = 95.2). There were no significant volume differences between the segmentation runs, raters, and hemispheres. The estimated volumes of the hypothalamus lie within the range of previous histological and neuroimaging results. We present a computer-assisted algorithm for the manual segmentation of the human hypothalamus using T1-weighted 7T magnetic resonance imaging. Providing very high test-retest and inter-rater reliabilities, it outperforms former procedures established at 1.5T and 3T magnetic resonance images and thus can serve as a gold standard for future automated procedures.

Details

show
hide
Language(s): eng - English
 Dates: 2013-02-152013-05-072013-07-23
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0066394
PMID: 23935821
PMC: PMC3720799
Other: Print 2013
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS One
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 8 (7) Sequence Number: e66394 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: /journals/resource/1000000000277850