Dual‐Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI

ABSTRACT BACKGROUND AND PURPOSE A pipeline for fully automated segmentation of 3T brain MRI scans in multiple sclerosis (MS) is presented. This 3T morphometry (3TM) pipeline provides indicators of MS disease progression from multichannel datasets with high‐resolution 3‐dimensional T1‐weighted, T2‐we...

Full description

Saved in:
Bibliographic Details
Published in:Journal of neuroimaging Vol. 28; no. 1; pp. 36 - 47
Main Authors: Meier, Dominik S., Guttmann, Charles R.G., Tummala, Subhash, Moscufo, Nicola, Cavallari, Michele, Tauhid, Shahamat, Bakshi, Rohit, Weiner, Howard L.
Format: Journal Article
Language:English
Published: United States Wiley Subscription Services, Inc 01.01.2018
John Wiley and Sons Inc
Subjects:
Atrophy
Brain
Brain mapping
brain morphometry
Cerebrospinal fluid
Coefficient of variation
Correlation coefficients
Datasets
Image processing
Image segmentation
imaging biomarker
Lesions
Magnetic resonance imaging
medical image analysis
Morphometry
Multiple sclerosis
Neuroimaging
NMR
Nuclear magnetic resonance
Pipelines
Sensitivity
Substantia grisea
Technology Update
Technology Updates
imaging biomarker
Magnetic resonance imaging
brain morphometry
multiple sclerosis
medical image analysis
ISSN:1051-2284, 1552-6569, 1552-6569
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT BACKGROUND AND PURPOSE A pipeline for fully automated segmentation of 3T brain MRI scans in multiple sclerosis (MS) is presented. This 3T morphometry (3TM) pipeline provides indicators of MS disease progression from multichannel datasets with high‐resolution 3‐dimensional T1‐weighted, T2‐weighted, and fluid‐attenuated inversion‐recovery (FLAIR) contrast. 3TM segments white (WM) and gray matter (GM) and cerebrospinal fluid (CSF) to assess atrophy and provides WM lesion (WML) volume. METHODS To address nonuniform distribution of noise/contrast (eg, posterior fossa in 3D‐FLAIR) of 3T magnetic resonance imaging, the method employs dual sensitivity (different sensitivities for lesion detection in predefined regions). We tested this approach by assigning different sensitivities to supratentorial and infratentorial regions, and validated the segmentation for accuracy against manual delineation, and for precision in scan‐rescans. RESULTS Intraclass correlation coefficients of .95, .91, and .86 were observed for WML and CSF segmentation accuracy and brain parenchymal fraction (BPF). Dual sensitivity significantly reduced infratentorial false‐positive WMLs, affording increases in global sensitivity without decreasing specificity. Scan‐rescan yielded coefficients of variation (COVs) of 8% and .4% for WMLs and BPF and COVs of .8%, 1%, and 2% for GM, WM, and CSF volumes. WML volume difference/precision was .49 ± .72 mL over a range of 0–24 mL. Correlation between BPF and age was r = .62 (P = .0004), and effect size for detecting brain atrophy was Cohen's d = 1.26 (standardized mean difference vs. healthy controls). CONCLUSIONS This pipeline produces probability maps for brain lesions and tissue classes, facilitating expert review/correction and may provide high throughput, efficient characterization of MS in large datasets.
Bibliography:Acknowledgment and Disclosure
This work was funded by the Ann Romney Center for Neurologic Diseases. We thank Tanuja Chitnis and Brian Healy for helpful discussions. We also thank Mark Anderson and Mariann Polgar‐Turcsanyi for technical assistance. The authors have no relevant conflicts‐of‐interest.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Acknowledgment and Disclosure: This work was funded by the Ann Romney Center for Neurologic Diseases. We thank Tanuja Chitnis and Brian Healy for helpful discussions. We also thank Mark Anderson and Mariann Polgar‐Turcsanyi for technical assistance. The authors have no relevant conflicts‐of‐interest.
ISSN:1051-2284
1552-6569
1552-6569
DOI:10.1111/jon.12491