Automated segmentation of medial temporal lobe subregions on in vivo T1‐weighted MRI in early stages of Alzheimer's disease
Year: 2019
Type: article
Abstract: Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology-and thus are promising biomarkers for Alzheimer's disease (AD). However, automatic segmentation of the MTL using only T1-weighted (T1w) magnetic resonance imaging (MRI) is challenging due to the large anatomical variability of the MTL cortex and the confound of the dura mater, which is commonly segmented as gray matter by state-of-the-art algorithms because they have similar intensity in T1w MRI. To address these challenges, we developed a novel atlas set, consisting of 15 cognitively normal older adults and 14 patients with mild cognitive impairment with a label explicitly assigned to the dura, that can be used by the multiatlas automated pipeline (Automatic Segmentation of Hippocampal Subfields [ASHS-T1]) for the segmentation of MTL subregions, including anterior/posterior hippocampus, entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36, and parahippocampal cortex on T1w MRI. Cross-validation experiments indicated good segmentation accuracy of ASHS-T1 and that the dura can be reliably separated from the cortex (6.5% mislabeled as gray matter). Conversely, FreeSurfer segmented majority of the dura mater (62.4%) as gray matter and the degree of dura mislabeling decreased with increasing disease severity. To evaluate its clinical utility, we applied the pipeline to T1w images of 663 ADNI subjects and significant volume/thickness loss is observed in BA35, ERC, and posterior hippocampus in early prodromal AD and all subregions at later stages. As such, the publicly available new atlas and ASHS-T1 could have important utility in the early diagnosis and monitoring of AD and enhancing brain-behavior studies of these regions.
Source: Human Brain Mapping
DOI: 10.1002/hbm.24607
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders: Foundation for the National Institutes of Health, Alzheimer's Association, Bristol-Myers Squibb, Alzheimer's Drug Discovery Foundation, Eli Lilly and Company, Pfizer, Biogen, BrightFocus Foundation, AbbVie, F. Hoffmann-La Roche, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Takeda Pharmaceutical Company, Northern California Institute for Research and Education, Fujirebio Europe, Servier, National Institutes of Health, Genentech, GE Healthcare, Canadian Institutes of Health Research, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering
Awards: G104586243, G2835601961, Optimized Arterial Spin Labeling MRI in Mild Cognitive Impairment, Alzheimer's Disease Core Center, Adaptive Large-Scale Framework for Automatic Biomedical Image Segmentation, Alzheimer's Disease Neuroimaging Initiative, Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology Associations, AD-specific changes in the MTL: Novel biomarkers using in vivo / ex vivo imaging, Modulators of Medial Temporal Lobe Subregion Structure and Function in Normal and Pathological Aging, G9000144445, Alzheimer's Disease Neuroimaging Initiative (ADNI4)
OpenAlex ID: W2942818360