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, and imaging modality associated with the brain image; accessing a database having 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 a plurality of different types of magnetic resonance imaging images, and wherein the database image information includes one or more of sex, age, medical history, brain size, brain dimensions, and imaging modality associated with the brain images; retrieving from the database a patient-specific training set of a plurality of brain images having database image information that matches the patient information of the patient's brain image, 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 extract predictor information representative of a predicted region of interest having a predicted shape and a predicted location and orientation based on relationships between the shapes, locations and orientations of the regions of interest in the training set of brain images with respect to the shapes, locations and orientations 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, location and orientation into the patient's brain image with respect to the predictor region in the patient's brain image, to produce a patient-specific atlas. 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, and imaging modality associated with the brain image; accessing a database having 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 a plurality of different types of magnetic resonance imaging images, and wherein the database image information includes one or more of sex, age, medical history, brain size, brain dimensions, and imaging modality associated with the brain images; retrieving from the database a patient-specific training set of a plurality of brain images having database image information that matches the patient information of the patient's brain image, 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 extract predictor information representative of a predicted region of interest having a predicted shape and a predicted location and orientation based on relationships between the shapes, locations and orientations of the regions of interest in the training set of brain images with respect to the shapes, locations and orientations 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, location and orientation into the patient's brain image with respect to the predictor region in the patient's brain image, to produce a patient-specific atlas.