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Abstract #4854

Development and evaluation of a comprehensive array of gray matter labels for the MIITRA atlas: Interoperability with complementary atlases

Mohammad Rakeen Niaz1, Abdur Raquib Ridwan1, Yingjuan Wu1, Shengwei Zhang2, David A. Bennett2, and Konstantinos Arfanakis1,2
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States


The Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults, contains high resolution (0.5mm isotropic) structural and diffusion tensor imaging templates. The purpose of this work was to build and evaluate a comprehensive array of gyral-based, cytoarchitecture-based, and functional connectivity-based gray matter labels in MIITRA space in order to enhance the functionality of the MIITRA atlas and its interoperability with complementary atlases.

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