System and Method of Brain Age Identification for Predicting Neuro-Degenerative Disease
AssigneeVanderbilt University
InventorsChenyu Gao, Bennett A. Landman, Michael E. Kim
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AssigneeVanderbilt University
InventorsChenyu Gao, Bennett A. Landman, Michael E. Kim
Estimating the term…
Calculating a brain age predicts progression from cognitively normal status to cognitive impairment. Software acquires diffusion magnetic resonance images (dMRI) and T1 weighted magnetic resonance images (T1w MRI) of the brain and calculate a pair of diffusion tensor imaging (DTI) scalar maps. The scalar maps may be a fractional anisotropy (FA) scalar map and/or a mean diffusivity (MD) scalar map. Concatenating the FA scalar map and the MD scalar map form a frame of scalar map data. The method includes a rigid transformation from scalar map data to the T1w images to store a rigid transformed image; applying an affine transformation from the rigid transformed image to a brain template; storing a rigid plus affine transformed image; and applying a non-rigid transformation to warp the rigid plus affine transformed image to the selected brain template to form a non-rigid white matter age input to a brain age calculation model.
A computer implemented method of preparing images of a subject's brain for calculating a brain age for the subject, the method comprising:
A system for preparing images of a subject's brain for calculating a brain age for the subject, comprises
A computer implemented method of preparing images of a subject's brain for calculating a brain age for the subject, the method comprising:
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