Journal article
The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis
American journal of neuroradiology : AJNR, Vol.33(8), pp.1579-1585
09/01/2012
DOI: 10.3174/ajnr.A3083
PMCID: PMC3425668
PMID: 22460341
Abstract
BACKGROUND AND PURPOSE: VBM has been widely used to study GM atrophy in MS. MS lesions lead to segmentation and registration errors that may affect the reliability of VBM results. Improved segmentation and registration have been demonstrated by WM LI before segmentation. DARTEL appears to improve registration versus the USM. Our aim was to compare the performance of VBM-DARTEL versus VBM-USM and the effect of LI in the regional analysis of GM atrophy in MS.
MATERIALS AND METHODS: 3T T1 MR imaging scans were acquired from 26 patients with RRMS and 28 age-matched NC. LI replaced WM lesions with normal-appearing WM intensities before image segmentation. VBM analysis was performed in SPM8 by using DARTEL and USM with and without LI, allowing the comparison of 4 VBM methods (DARTEL + LI, DARTEL - LI, USM + LI, and USM - LI). Accuracy of VBM was assessed by using NMI, CC, and a simulation analysis.
RESULTS: Overall, DARTEL + LI yielded the most accurate GM maps among the 4 methods (highest NMI and CC, P < .001). DARTEL + LI showed significant GM loss in the bilateral thalami and caudate nuclei in patients with RRMS versus NC. The other 3 methods overestimated the number of regions of GM loss in RRMS versus NC. LI improved the accuracy of both VBM methods. Simulated data suggested the accuracy of the results provided from patient MR imaging analysis.
CONCLUSIONS: We introduce a pipeline that shows promise in limiting segmentation and registration errors in VBM analysis in MS.
Details
- Title: Subtitle
- The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis
- Creators
- A. Ceccarelli - Harvard UniversityJ. S. Jackson - Harvard UniversityS. Tauhid - Harvard UniversityA. Arora - Harvard UniversityJ. Gorky - Harvard UniversityE. Dell'Oglio - Harvard UniversityA. Bakshi - Harvard UniversityT. Chitnis - Harvard UniversityS. J. Khoury - Harvard UniversityH. L. Weiner - Harvard UniversityC. R. G. Guttmann - Brigham and Women's HospitalR. Bakshi - Harvard UniversityM. Neema - Harvard University
- Resource Type
- Journal article
- Publication Details
- American journal of neuroradiology : AJNR, Vol.33(8), pp.1579-1585
- Publisher
- Amer Soc Neuroradiology
- DOI
- 10.3174/ajnr.A3083
- PMID
- 22460341
- PMCID
- PMC3425668
- ISSN
- 0195-6108
- eISSN
- 1936-959X
- Number of pages
- 7
- Grant note
- Teva Neuroscience; Teva Pharmaceutical Industries Merck-Serono; Merck & Company EMD Serono NIH-NINDS R01 NS055083-01 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA RG3705A1; RG3798A2 / National Multiple Sclerosis Society R01NS055083 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) Biogen Idec; Biogen
- Language
- English
- Date published
- 09/01/2012
- Academic Unit
- Psychiatry
- Record Identifier
- 9984627303102771
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