Method and system for automated interpretation of computer tomography scan data

An article of manufacture containing software for interpreting image data that represents variations in density of matter inside a subject, the article of manufacture comprising:

• a machine accessible storage medium;
• and
• instructions in the machine accessible storage medium, wherein the instructions, when executed by a machine, enable the machine to perform operations comprising:
• receiving image data from a scan of a subject;
• automatically discerning one or more bones of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned bones;
• automatically discerning one or more arteries of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned arteries;
• automatically discerning one or more organs of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned organs;
• and
• producing output that depicts one or more of the identified bones, one or more of the identified arteries, and one or more of the identified organs.

A data processing system for interpreting image data that represents variations in density of matter inside a subject, the data processing system comprising:

• at least one processor;
• at least one machine accessible storage medium responsive to the processor;
• and
• instructions in the machine accessible storage medium, wherein the instructions, when executed by the at least one processor, enable the machine to perform operations comprising:
• receiving image data from a scan of a subject;
• automatically discerning one or more bones of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned bones;
• automatically discerning one or more arteries of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned arteries;
• automatically discerning one or more organs of the subject, based at least in part on the image data;
• automatically identifying one or more of the discerned organs;
• and
• producing output that depicts one or more of the identified bones, one or more of the identified arteries, and one or more of the identified organs.