Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods

Sandra M. Meyers; Cornelia Laule; Irene M. Vavasour; Shannon H. Kolind; Burkhard Mädler; Roger Tam; Anthony L. Traboulsee; Jimmy Lee; David K.B. Li; Alex L. MacKay

doi:10.1016/j.mri.2009.02.001

Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods

Sandra M. Meyers, Cornelia Laule, Irene M. Vavasour, Shannon H. Kolind, Burkhard Mädler, Roger Tam, Anthony L. Traboulsee, Jimmy Lee, David K.B. Li, Alex L. MacKay

Research output: Contribution to journal › Article › peer-review

57 Scopus citations

Abstract

This study compared region of interest (ROI) and voxel-based analysis (VBA) methods to determine the optimal method of myelin water fraction (MWF) analysis. Twenty healthy controls were scanned twice using a multi-echo T₂ relaxation sequence and ROIs were drawn in white and grey matter. MWF was defined as the fractional signal from 15 to 40 ms in the T₂ distribution. For ROI analysis, the mean intensity of voxels within an ROI was fit using non-negative least squares. For VBA, MWF was obtained for each voxel and the mean and median values within an ROI were calculated. There was a slightly higher correlation between Scan 1 and 2 for the VBA method (R²=0.98) relative to the ROI method (R²=0.95), and the VBA mean square difference between scans was 300% lower, indicating VBA was the most consistent between scans. For the VBA method, mean MWF was found to be more reproducible than median MWF. As the VBA method is more reproducible and gives more options for visualization and analysis of MWF, it is recommended over the ROI method of MWF analysis.

Original language	English (US)
Pages (from-to)	1096-1103
Number of pages	8
Journal	Magnetic Resonance Imaging
Volume	27
Issue number	8
DOIs	https://doi.org/10.1016/j.mri.2009.02.001
State	Published - Oct 2009
Externally published	Yes

Keywords

Myelin water
NNLS
T relaxation
Voxel-based analysis
White matter

ASJC Scopus subject areas

Biophysics
Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1016/j.mri.2009.02.001

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@article{9439f8bd29724d268271c85630486f6d,

title = "Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods",

abstract = "This study compared region of interest (ROI) and voxel-based analysis (VBA) methods to determine the optimal method of myelin water fraction (MWF) analysis. Twenty healthy controls were scanned twice using a multi-echo T2 relaxation sequence and ROIs were drawn in white and grey matter. MWF was defined as the fractional signal from 15 to 40 ms in the T2 distribution. For ROI analysis, the mean intensity of voxels within an ROI was fit using non-negative least squares. For VBA, MWF was obtained for each voxel and the mean and median values within an ROI were calculated. There was a slightly higher correlation between Scan 1 and 2 for the VBA method (R2=0.98) relative to the ROI method (R2=0.95), and the VBA mean square difference between scans was 300% lower, indicating VBA was the most consistent between scans. For the VBA method, mean MWF was found to be more reproducible than median MWF. As the VBA method is more reproducible and gives more options for visualization and analysis of MWF, it is recommended over the ROI method of MWF analysis.",

keywords = "Myelin water, NNLS, T relaxation, Voxel-based analysis, White matter",

author = "Meyers, {Sandra M.} and Cornelia Laule and Vavasour, {Irene M.} and Kolind, {Shannon H.} and Burkhard M{\"a}dler and Roger Tam and Traboulsee, {Anthony L.} and Jimmy Lee and Li, {David K.B.} and MacKay, {Alex L.}",

note = "Funding Information: This research was supported by the UBC MS/MRI Research Group, the Natural Sciences and Engineering Research Council (NSERC) and the Multiple Sclerosis Society of Canada. The authors wish to thank all control subjects and the MR technologists at the UBC MRI Research Centre. We also wish to thank Joseph Lee and Eugene Yip for their assistance in developing analysis software and Donna Lang, Yinshan Zhao and Campbell Clark for helpful discussions. S.M.M. was the recipient of an NSERC Undergraduate Scholarship. S.H.K. was the recipient of a Killam Predoctoral Fellowship. ",

year = "2009",

month = oct,

doi = "10.1016/j.mri.2009.02.001",

language = "English (US)",

volume = "27",

pages = "1096--1103",

journal = "Magnetic Resonance Imaging",

issn = "0730-725X",

publisher = "Elsevier Inc.",

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TY - JOUR

T1 - Reproducibility of myelin water fraction analysis

T2 - a comparison of region of interest and voxel-based analysis methods

AU - Meyers, Sandra M.

AU - Laule, Cornelia

AU - Vavasour, Irene M.

AU - Kolind, Shannon H.

AU - Mädler, Burkhard

AU - Tam, Roger

AU - Traboulsee, Anthony L.

AU - Lee, Jimmy

AU - Li, David K.B.

AU - MacKay, Alex L.

N1 - Funding Information: This research was supported by the UBC MS/MRI Research Group, the Natural Sciences and Engineering Research Council (NSERC) and the Multiple Sclerosis Society of Canada. The authors wish to thank all control subjects and the MR technologists at the UBC MRI Research Centre. We also wish to thank Joseph Lee and Eugene Yip for their assistance in developing analysis software and Donna Lang, Yinshan Zhao and Campbell Clark for helpful discussions. S.M.M. was the recipient of an NSERC Undergraduate Scholarship. S.H.K. was the recipient of a Killam Predoctoral Fellowship.

PY - 2009/10

Y1 - 2009/10

N2 - This study compared region of interest (ROI) and voxel-based analysis (VBA) methods to determine the optimal method of myelin water fraction (MWF) analysis. Twenty healthy controls were scanned twice using a multi-echo T2 relaxation sequence and ROIs were drawn in white and grey matter. MWF was defined as the fractional signal from 15 to 40 ms in the T2 distribution. For ROI analysis, the mean intensity of voxels within an ROI was fit using non-negative least squares. For VBA, MWF was obtained for each voxel and the mean and median values within an ROI were calculated. There was a slightly higher correlation between Scan 1 and 2 for the VBA method (R2=0.98) relative to the ROI method (R2=0.95), and the VBA mean square difference between scans was 300% lower, indicating VBA was the most consistent between scans. For the VBA method, mean MWF was found to be more reproducible than median MWF. As the VBA method is more reproducible and gives more options for visualization and analysis of MWF, it is recommended over the ROI method of MWF analysis.

AB - This study compared region of interest (ROI) and voxel-based analysis (VBA) methods to determine the optimal method of myelin water fraction (MWF) analysis. Twenty healthy controls were scanned twice using a multi-echo T2 relaxation sequence and ROIs were drawn in white and grey matter. MWF was defined as the fractional signal from 15 to 40 ms in the T2 distribution. For ROI analysis, the mean intensity of voxels within an ROI was fit using non-negative least squares. For VBA, MWF was obtained for each voxel and the mean and median values within an ROI were calculated. There was a slightly higher correlation between Scan 1 and 2 for the VBA method (R2=0.98) relative to the ROI method (R2=0.95), and the VBA mean square difference between scans was 300% lower, indicating VBA was the most consistent between scans. For the VBA method, mean MWF was found to be more reproducible than median MWF. As the VBA method is more reproducible and gives more options for visualization and analysis of MWF, it is recommended over the ROI method of MWF analysis.

KW - Myelin water

KW - NNLS

KW - T relaxation

KW - Voxel-based analysis

KW - White matter

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U2 - 10.1016/j.mri.2009.02.001

DO - 10.1016/j.mri.2009.02.001

M3 - Article

C2 - 19356875

AN - SCOPUS:70049109261

SN - 0730-725X

VL - 27

SP - 1096

EP - 1103

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

IS - 8

ER -

Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods

Abstract

Keywords

ASJC Scopus subject areas

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