METHODS AND SYSTEMS FOR RESTING STATE FMRI BRAIN MAPPING WITH REDUCED IMAGING TIME

Abstract

A method for mapping functions of a brain includes receiving an MRI data set for a subject comprising fMRI data acquired with the subject lying in MRI scanning equipment in a state of rest, generating a voxel-wise correlation map that identifies, for each of a plurality of voxels of the brain, a measure of the degree of time correlation between spontaneous brain activations at one voxel of the brain as revealed in the resting-state fMRI data and spontaneous brain activations at each of the other voxels of the plurality of bran voxels as revealed in the resting-state fMRI data. The voxel-wise correlation map is input to a trained 3D convolutional neural network based machine learning algorithm to generate a functional connectivity map identifying a location where a predefined brain function is performed within the subject's brain by identifying the voxels involved in performing that predefined brain function.

CPC Classifications