Method for a brain region location and shape prediction

A brain image pipeline method for operating an electronic device, comprising:

• receiving a patient's brain image and patient information characterizing the brain image, wherein the patient's brain image has a predictor region and a region of interest, and wherein the patient information includes one or more of sex, age, medical history, brain size, brain dimensions or imaging modality associated with the brain image;
• accessing a database including a plurality of brain images different than the patient's brain image and database image information characterizing each of the brain images different than the patient's brain image, wherein the database includes one or both of (1) two or more image types or (2) two or more image modalities;
• retrieving from the database a patient-specific training set of a plurality of brain images having database image information that matches the patient information, wherein each brain image of the training set has a predictor region associated with a region of interest that is anatomically different than the predictor region, and wherein the predictor region of each brain image of the training set corresponds to the predictor region in the patient's brain image and the region of interest of each brain image of the training set corresponds to the region of interest in the patient's brain image;
• processing the patient-specific training set of brain images to generate predictor information representative of a predicted region of interest having a predicted shape and location based on relationships between shapes and locations of the regions of interest in the training set of brain images with respect to shapes and locations of the predictor regions in the training set of brain images;
• and
• processing the patient's brain image using the predictor information to incorporate the predicted region of interest having the predicted shape and location into the patient's brain image with respect to the predictor region in the patient's brain image, to produce a patient-specific atlas.

A brain image pipeline method for operating an electronic device, comprising:

• receiving a patient's brain image, wherein the patient's brain image has a predictor region and a region of interest;
• accessing a database including a plurality of brain images different than the patient's brain image;
• retrieving from the database a training set of a plurality of brain images, wherein each brain image of the training set has a predictor region associated with a region of interest that is anatomically different than the predictor region, and wherein the predictor region of each brain image of the training set corresponds to the predictor region in the patient's brain image and the region of interest of each brain image of the training set corresponds to the region of interest in the patient's brain image;
• processing the training set of brain images to generate a statistical model representative of a predicted region of interest having one or more of a predicted shape, location, size or orientation based on relationships between shapes, locations, sizes or orientations of the regions of interest in the training set of brain images with respect to shapes, locations, sizes or orientations of the predictor regions in the training set of brain images;
• and
• processing the patient's brain image using the statistical model to incorporate the predicted region of interest into the patient's brain image with respect to the predictor region in the patient's brain image, to produce a patient-specific atlas.