Systems and methods for probablistic segmentation in anatomical image processing

A system for performing probabilistic segmentation in anatomical image analysis, the system comprising:

• at least one server storing instructions for performing probabilistic segmentation in anatomical image analysis;
• and
• at least one processor configured to execute the instructions to perform a method including:
• receiving a plurality of images of an anatomical structure;
• receiving one or more geometric labels of the anatomical structure;
• determining a parameterized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images;
• receiving an image of a patient's anatomy;
• computing a probability distribution for a patient-specific segmentation boundary associated with the patient's anatomy, based on the parameterized representation;
• computing at least one statistical confidence value based on the probability distribution;
• generating a segmentation boundary associated with the patient's anatomy based on the probability distribution and the at least one statistical confidence value;
• determining a region of the segmentation boundary associated with the statistical confidence value below a predetermined threshold;
• and
• generating a display and/or notification of the region with the statistical confidence value below the predetermined threshold.

A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions, that when executed by a computer cause the computer to perform a method of performing probabilistic segmentation in anatomical image analysis, the method comprising:

• receiving a plurality of images of an anatomical structure;
• receiving one or more geometric labels of the anatomical structure;
• determining a parameterized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images;
• receiving an image of a patient's anatomy;
• computing a probability distribution for a patient-specific segmentation boundary associated with the patient's anatomy, based on the parameterized representation;
• computing at least one statistical confidence value based on the probability distribution;
• generating a segmentation boundary associated with the patient's anatomy based on the probability distribution and the at least one statistical confidence value;
• determining a region of the segmentation boundary associated with the statistical confidence value below a predetermined threshold;
• and
• generating a display and/or notification of the region with the statistical confidence value below the predetermined threshold.