Methods and systems for characterizing anatomical features in medical images

A method, comprising:

• receiving a series of liver images from a multi-phasic exam;
• aligning the series of liver images;
• segmenting the liver and a lesion within the series of aligned liver images;
• sub-segmenting the lesion based on changes in pixel values of the segmented lesion across the series of aligned liver images;
• and
• outputting an analysis of the sub-segmented lesion.

A system, comprising:

• a computed tomography (CT) system;
• a memory storing instructions;
• and
• a processor communicably coupled to the memory and, when executing the instructions, configured to:
• receive a plurality of images acquired by the CT system during a multi-phasic exam enhanced with a contrast agent;
• identify a boundary of an anatomical feature in at least one of the plurality of images via a deep learning model;
• determine a diagnostic score for the anatomical feature based on hypo- and hyper-enhancement of contrast agent within regions of the anatomical feature throughout the multi-phasic exam;
• and
• output the diagnostic score.