Systems and methods for brain identifier localization

A method for brain identifier localization, implemented on a computing device having at least one processor and at least one storage device, the method comprising:

• obtaining an image of a brain;
• determining at least one region identifier probability map of the brain, at least one landmark identifier probability map of the brain, and at least one plane identifier probability map of the brain based on the image and a neural network model, wherein a value of each pixel point in the at least one region identifier probability map represents a probability value that the pixel point belongs to at least one region identifier of the brain, a value of each pixel point in the at least one landmark identifier probability map represents a probability value that the pixel point belongs to at least one landmark identifier of the brain, and a value of each pixel point in the at least one plane identifier probability map represents a probability value that the pixel point belongs to at least one plane identifier of the brain;
• determining a segmentation result of a cerebral cortex of the brain, the at least one landmark identifier of the brain, and the at least one plane identifier of the brain, respectively, based on the at least one region identifier probability map, the at least one landmark identifier probability map, and the at least one plane identifier probability map;
• constructing a target coordinate system based on the at least one landmark identifier and the at least one plane identifier;
• and
• determining at least one landmark of the cerebral cortex based on at least one of the segmentation result of the cerebral cortex, the target coordinate system, and the at least one landmark identifier.

A non-transitory computer-readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method, the method comprising:

• obtaining an image of a brain;
• determining at least one region identifier probability map of the brain, at least one landmark identifier probability map of the brain, and at least one plane identifier probability map of the brain based on the image and a neural network model, wherein a value of each pixel point in the at least one region identifier probability map represents a probability value that the pixel point belongs to at least one region identifier of the brain, a value of each pixel point in the at least one landmark identifier probability map represents a probability value that the pixel point belongs to at least one landmark identifier of the brain, and a value of each pixel point in the at least one plane identifier probability map represents a probability value that the pixel point belongs to at least one plane identifier of the brain;
• determining a segmentation result of a cerebral cortex of the brain, the at least one landmark identifier of the brain, and the at least one plane identifier of the brain, respectively, based on the at least one region identifier probability map, the at least one landmark identifier probability map, and the at least one plane identifier probability map;
• constructing a target coordinate system based on the at least one landmark identifier and the at least one plane identifier;
• and
• determining at least one landmark of the cerebral cortex based on at least one of the segmentation result of the cerebral cortex, the target coordinate system, and the at least one landmark identifier.