System and method for analyzing and visualizing local clinical features

A method comprising:

• accessing a clinical image dataset comprising clinical image data acquired from a patient;
• identifying a first region of interest (ROI) from the clinical image dataset;
• extracting at least one local feature corresponding to the first ROI;
• defining a local feature dataset comprising data representing the at least one local feature;
• accessing a pre-computed reference dataset comprising image data representing an expected value of the at least one local feature;
• comparing the local feature dataset to the pre-computed reference dataset;
• calculating at least one deviation metric from the comparison;
• and
• outputting a visualization of the at least one deviation metric.

A system for analyzing image data comprising:

• a patient database having stored thereon image data acquired from a patient;
• a reference database having stored thereon pre-computed image data acquired from a reference population;
• a processor programmed to:
• access a set of patient data from the patient database;
• identify a region of interest (ROI) from the set of patient data;
• extract a local feature corresponding to the ROI;
• define a set of patient feature data from the set of patient data representing the local feature;
• access a set of pre-computed feature data from the reference database representing the local feature;
• compare the set of patient feature data to the set of pre-computed feature data;
• generate a deviation map from the comparison;
• and
• output a visualization of the deviation map;
• and
• a graphical user interface (GUI) configured to display the deviation map for the local feature.