CRASHS templates and models
Data files
Oct 14, 2024 version files 1.20 GB
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crashs_template_package_20241014.tgz
1.20 GB
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README.md
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Abstract
This paper for the 20th anniversary of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) provides an overview of magnetic resonance imaging (MRI) of medial temporal lobe (MTL) subregions in ADNI using a dedicated high-resolution T2-weighted sequence. A review of the work that supported the inclusion of this imaging modality into ADNI Phase 3 is followed by a brief description of the ADNI MTL imaging and analysis protocols and a summary of studies that have used these data. This review is supplemented by a novel study that uses novel surface-based tools to characterize MTL neurodegeneration across biomarker-defined AD stages. This analysis reveals a pattern of spreading cortical thinning associated with increasing levels of tau pathology in presence of elevated beta-amyloid, with apparent epicenters in the transentorhinal region and inferior hippocampal subfields. The paper concludes with an outlook for high-resolution imaging of the MTL in ADNI Phase 4.
README: CRASHS Template and Model Package
This folder contains the templates and deep learning models needed to run CRASHS (cortical reconstruction for automated segmentation of hippocampal subfields). CRASHS and CRASHS documentation are available on Zenodo and on the CRASHS Github page.
This package is compatible with CRASHS version 0.2.5 and later.
Please see the README.md file on Zenodo or on the CRASHS Github page for instructions on using this package with CRASHS software.
Methods
This dataset contains the template and model package for use with CRASHS. CRASHS is a surface analysis pipeline for medial temporal lobe anatomical structures. It uses output of the ASHS pipeline (automatic segmentation of hippocampal subfields) as input. The CRASHS template contains geometrical models and deep learning networks used internally by the CRASHS software to match an individual's temporal lobe to a template.
Please see CRASHS documentation for instructions on using the package.