Quantification and staging of body-wide tissue composition and of abnormal states on medical images via automatic anatomy recognition

A system that provides, based on medical images, quantification of body-wide tissue composition including one or more of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), muscle tissue, and bone tissue via automatic anatomy recognition, the system comprising:

• a database that stores image data from medical image sets;
• a memory storing computer instructions;
• and
• a processor that processes the computer instructions to:
• determine, based on automatically identifying a plurality of virtual landmarks in a medical image set of the image data, a body region of interest, wherein determining the body region of interest comprises determining, based on one or more of the plurality of virtual landmarks, a first image slice indicative of a first boundary of the body region of interest and determining, based on one or more of the plurality of virtual landmarks, a second image slice indicative of a second boundary of the body region of interest;
• generate, based on at least a portion of the image data associated with the body region of interest, a fuzzy anatomy model of the body region of interest;
• and
• use automatic anatomy recognition (AAR) to recognize and delineate, based on one or more patient images and the fuzzy anatomy model, one or more tissue objects in the body region of interest for a particular patient, wherein the one or more tissue objects comprise one or more of a subcutaneous adipose tissue (SAT) object, a visceral adipose tissue (VAT) object, a muscle tissue object, and a bone tissue object.

A computerized method of recognizing, staging, and quantifying, via automatic anatomy recognition and based on patient images, abnormal states within objects body-wide, the method comprising the steps of:

• determining, based on automatically identifying using an iterative principal component analysis process a plurality of virtual landmarks in a set of medical images, a body region of interest;
• locating, based on determining the body region of interest, an object in the body region of interest of a particular patient;
• and
• determining, using at least image data from the set of medical images, an indication of a disease in the located object.