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

被引:56
|
作者
Meyers, Sandra M. [2 ]
Laule, Cornelia [1 ]
Vavasour, Irene M. [1 ]
Kolind, Shannon H. [3 ]
Madler, Burkhard [3 ,4 ]
Tam, Roger [1 ]
Traboulsee, Anthony L. [5 ]
Lee, Jimmy [5 ]
Li, David K. B. [1 ]
MacKay, Alex L. [1 ,3 ]
机构
[1] Univ British Columbia, Dept Radiol, Vancouver, BC V6T 2B5, Canada
[2] Univ Alberta, Dept Phys, Edmonton, AB T6G 2G7, Canada
[3] Univ British Columbia, Dept Phys & Astron, Vancouver, BC V6T 1Z1, Canada
[4] Philips Healthcare, Vancouver, BC V6T 2B5, Canada
[5] Univ British Columbia, Dept Med, Vancouver, BC V6T 2B5, Canada
关键词
Myelin water; T-2; relaxation; NNLS; White matter; Voxel-based analysis; MULTIPLE-SCLEROSIS; T2; RELAXATION; IN-VIVO; MAGNETIZATION-TRANSFER; TRANSVERSE RELAXATION; T-2; BRAIN; MRI; DISTRIBUTIONS; COMPONENTS;
D O I
10.1016/j.mri.2009.02.001
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 T-2 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 T-2 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 I and 2 for the VBA method (R-2=0.98) relative to the ROI method (R-2=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. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1096 / 1103
页数:8
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