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Abstract #1906

MIITRA atlas: Development and evaluation of high-resolution gray matter labels

Mohammad Rakeen Niaz1, Yingjuan Wu1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, 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 contains high resolution (0.5mm) T1-weighted (T1w) and diffusion tensor imaging (DTI) templates, constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults. The purpose of this work was twofold: a) to construct high resolution gray matter labels for the MIITRA atlas based on manually edited gray matter labels of the older adults included in the atlas, and b) to evaluate the performance of the new labels in labeling the gray matter of a separate group of older adults.

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