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Validation of a protocol for manual segmentation of the thalamus on magnetic resonance imaging scans.

Power, Brian D; Wilkes, Fiona A; Hunter-Dickson, Mitchell; van Westen, Danielle LU ; Santillo, Alexander LU ; Walterfang, Mark; Nilsson, Christer LU ; Velakoulis, Dennis and Looi, Jeffrey C L (2015) In Psychiatry Research 232(1). p.98-105
Abstract
We present a validated protocol for manual segmentation of the thalamus on T1-weighted magnetic resonance imaging (MRI) scans using brain image analysis software. The MRI scans of five normal control subjects were randomly selected from a larger cohort recruited from Lund University Hospital and Landskrona Hospital, Sweden. MRIs were performed using a 3.0T Philips MR scanner, with an eight-channel head coil, and high resolution images were acquired using a T1-weighted turbo field echo (T1 TFE) pulse sequence, with resulting voxel size 1×1×1mm(3). Manual segmentation of the left and right thalami and volume measurement was performed on 28-30 contiguous coronal slices, using ANALYZE 11.0 software. Reliability of image analysis was performed... (More)
We present a validated protocol for manual segmentation of the thalamus on T1-weighted magnetic resonance imaging (MRI) scans using brain image analysis software. The MRI scans of five normal control subjects were randomly selected from a larger cohort recruited from Lund University Hospital and Landskrona Hospital, Sweden. MRIs were performed using a 3.0T Philips MR scanner, with an eight-channel head coil, and high resolution images were acquired using a T1-weighted turbo field echo (T1 TFE) pulse sequence, with resulting voxel size 1×1×1mm(3). Manual segmentation of the left and right thalami and volume measurement was performed on 28-30 contiguous coronal slices, using ANALYZE 11.0 software. Reliability of image analysis was performed by measuring intra-class correlations between initial segmentation and random repeated segmentation of the left and right thalami (in total 10 thalami for segmentation); inter-rater reliability was measured using volumes obtained by two other experienced tracers. Intra-class correlations for two independent raters were 0.95 and 0.98; inter-class correlations between the expert rater and two independent raters were 0.92 and 0.98. We anticipate that mapping thalamic morphology in various neuropsychiatric disorders may yield clinically useful disease-specific biomarkers. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Psychiatry Research
volume
232
issue
1
pages
98 - 105
publisher
Elsevier
external identifiers
  • pmid:25752844
  • wos:000353625300011
  • scopus:84927911345
ISSN
1872-7123
DOI
10.1016/j.pscychresns.2015.02.001
language
English
LU publication?
yes
id
7287814e-434d-4886-9ddd-b3d3ef4294c7 (old id 5264979)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/25752844?dopt=Abstract
date added to LUP
2015-04-02 15:50:40
date last changed
2017-07-30 03:06:40
@article{7287814e-434d-4886-9ddd-b3d3ef4294c7,
  abstract     = {We present a validated protocol for manual segmentation of the thalamus on T1-weighted magnetic resonance imaging (MRI) scans using brain image analysis software. The MRI scans of five normal control subjects were randomly selected from a larger cohort recruited from Lund University Hospital and Landskrona Hospital, Sweden. MRIs were performed using a 3.0T Philips MR scanner, with an eight-channel head coil, and high resolution images were acquired using a T1-weighted turbo field echo (T1 TFE) pulse sequence, with resulting voxel size 1×1×1mm(3). Manual segmentation of the left and right thalami and volume measurement was performed on 28-30 contiguous coronal slices, using ANALYZE 11.0 software. Reliability of image analysis was performed by measuring intra-class correlations between initial segmentation and random repeated segmentation of the left and right thalami (in total 10 thalami for segmentation); inter-rater reliability was measured using volumes obtained by two other experienced tracers. Intra-class correlations for two independent raters were 0.95 and 0.98; inter-class correlations between the expert rater and two independent raters were 0.92 and 0.98. We anticipate that mapping thalamic morphology in various neuropsychiatric disorders may yield clinically useful disease-specific biomarkers.},
  author       = {Power, Brian D and Wilkes, Fiona A and Hunter-Dickson, Mitchell and van Westen, Danielle and Santillo, Alexander and Walterfang, Mark and Nilsson, Christer and Velakoulis, Dennis and Looi, Jeffrey C L},
  issn         = {1872-7123},
  language     = {eng},
  number       = {1},
  pages        = {98--105},
  publisher    = {Elsevier},
  series       = {Psychiatry Research},
  title        = {Validation of a protocol for manual segmentation of the thalamus on magnetic resonance imaging scans.},
  url          = {http://dx.doi.org/10.1016/j.pscychresns.2015.02.001},
  volume       = {232},
  year         = {2015},
}