3D analysis with optical coherence tomography images

A three dimensional (3D) quantification method, comprising:

• acquiring 3D optical coherence tomography (OCT) volumetric data of an object of a subject, the volumetric data being from one scan of the object;
• performing a plurality of different pre-processing techniques on the volumetric data, thereby producing a plurality of different pre-processed data;
• segmenting a physiological component of the object from the volumetric data by applying a plurality of different segmentation techniques to each of the plurality of different pre-processed data, thereby producing a plurality of different segmented data;
• combining the plurality of different segmented data, thereby producing 3D composite segmented data;
• determining a quantifiable metric of the volumetric data by analyzing the 3D composite segmented data;
• registering the 3D composite segmented data to comparison data based on a first portion of the 3D composite segmented data and a corresponding first portion of the comparison data;
• determining a trend of the metric by determining a change between a value of the metric of the 3D composite segmented data at a second portion of the 3D composite segmented data and a value of the metric of the comparison data at a corresponding second portion of the comparison data;
• and
• generating a two-dimensional map of the metric, the map indicating the determined trend of the metric value,
• wherein the first portions of the 3D composite segmented data and comparison data are different than the second portions of 3D composite segmented data and comparison data.