Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability

Background The cerebral subcortical deep gray matter nuclei (DGM) are a common, early, and clinically-relevant site of atrophy in multiple sclerosis (MS). Robust and reliable DGM segmentation could prove useful to evaluate putative neuroprotective MS therapies. The objective of the study was to comp...

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Bibliographic Details
Published in:	BMC neurology Vol. 17; no. 1; pp. 172 - 10
Main Authors:	Chu, Renxin, Hurwitz, Shelley, Tauhid, Shahamat, Bakshi, Rohit
Format:	Journal Article
Language:	English
Published:	London BioMed Central 05.09.2017 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	3T MRI Adult Alzheimer's disease Atrophy Atrophy - pathology Automation Brain - pathology Brain research Brain segmentation Care and treatment Cerebral Cortex Demyelinating diseases Development and progression Female Globus pallidus Globus Pallidus - pathology Gray Matter - diagnostic imaging Gray Matter - pathology Humans Image processing Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Male Medical imaging Medicine Medicine & Public Health Middle Aged Multiple sclerosis Multiple Sclerosis - pathology Neurochemistry Neuroimaging Neurology Neuroprotection Neurosurgery Putamen Putamen - pathology Reproducibility of Results Research Article Scanners Segmentation Sensitivity and Specificity Subcortical deep gray matter Substantia grisea Thalamus Volumetric analysis Atrophy Brain segmentation Multiple sclerosis 3T MRI Subcortical deep gray matter
ISSN:	1471-2377, 1471-2377
Online Access:	Get full text
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