University of California

Tyler Steed

Anders M Dale

Bob Carter

Clark Chen

Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.

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San Diego, CA, United States of America

Tyler Steed