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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5264979
- author
- 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
- organization
- publishing date
- 2015
- 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
- pmid:25752844
- 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
- 2016-04-01 10:06:40
- date last changed
- 2022-03-12 02:11:06
@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}},
doi = {{10.1016/j.pscychresns.2015.02.001}},
volume = {{232}},
year = {{2015}},
}