A processor implemented three dimensional 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; pre-processing (102, 202, 206) the volumetric data, thereby producing pre-processed data; segmenting (104, 208, 210, 212, 214) a physiological component of the object from the pre-processed data, thereby producing 3D segmented data, the segmenting comprising: performing a first local thresholding segmentation technique on B-Scan images taken from the pre-processed data, thereby producing first segmented data, the first local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; performing a second local thresholding segmentation technique on C-Scan images taken from the pre-processed data, thereby producing second segmented data, the second local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; applying a global thresholding segmentation technique to the entirety of the pre-processed data, thereby producing third segmented data, the global thresholding segmentation technique being configured to segment the physiological component in the pre-processed data; and producing the 3D segmented data by combining the first segmented data, the second segmented data, and the third segmented data, determining a two-dimensional metric of the volumetric data by analyzing the 3D segmented data; and generating a visualization of the two-dimensional metric. acquiring 3D optical coherence tomography, OCT, volumetric data of an object of a subject, the volumetric data being from one scan of the object; pre-processing (102, 202, 206) the volumetric data, thereby producing pre-processed data; segmenting (104, 208, 210, 212, 214) a physiological component of the object from the pre-processed data, thereby producing 3D segmented data, the segmenting comprising: performing a first local thresholding segmentation technique on B-Scan images taken from the pre-processed data, thereby producing first segmented data, the first local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; performing a second local thresholding segmentation technique on C-Scan images taken from the pre-processed data, thereby producing second segmented data, the second local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; applying a global thresholding segmentation technique to the entirety of the pre-processed data, thereby producing third segmented data, the global thresholding segmentation technique being configured to segment the physiological component in the pre-processed data; and producing the 3D segmented data by combining the first segmented data, the second segmented data, and the third segmented data, performing a first local thresholding segmentation technique on B-Scan images taken from the pre-processed data, thereby producing first segmented data, the first local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; performing a second local thresholding segmentation technique on C-Scan images taken from the pre-processed data, thereby producing second segmented data, the second local thresholding segmentation technique being configured to segment the physiological component from the pre-processed data; applying a global thresholding segmentation technique to the entirety of the pre-processed data, thereby producing third segmented data, the global thresholding segmentation technique being configured to segment the physiological component in the pre-processed data; and producing the 3D segmented data by combining the first segmented data, the second segmented data, and the third segmented data, determining a two-dimensional metric of the volumetric data by analyzing the 3D segmented data; and generating a visualization of the two-dimensional metric.