1. A method of assessing heterogeneity in images comprising: a. acquiring 3D images of a biological tissue; b. performing iterative decomposition on the acquired images; c. performing comparative analysis of the decomposed images using distance, which includes graphically representing spatial relationships between regions of the images that are relatively homogeneous, wherein diseased biological tissue is distinguished from healthy biological tissue; and d. masking the images; wherein the performing iterative decomposition on the acquired images includes performing octree decomposition on the masked images and reducing the images to obtain image subdivisions that are relatively homogeneous, and wherein the reducing includes dividing boxes of the images according to a criterion which includes a measurement of standard deviation within each box and comparison of the standard deviation to a threshold standard.