1. A method for aiding evaluation of lesions in a body part comprising: in a first step, obtaining a plurality of first data sets each derived from a medical image of a respective one of a plurality of selected planar regions of the body part, each of said first data sets being composed of a matrix of data values, each value representing the intensity of a pixel in the medical image of the respective one of a plurality of mutually parallel planar regions of the body part; in a second step, processing the plurality of first data sets to form a corresponding plurality of second data sets, each of said second data sets containing data representing pixel intensity patterns in the first data sets; in a third step, processing the plurality of first data sets to form a plurality of third data sets, each third data set containing data representing contours or bounding boxes; in a fourth step, processing the plurality of third data sets to form a corresponding plurality of fourth data sets by first thresholding the intensities of the pixels in the third data set at some given value, and then forming n-connected, 3-dimensional clusters; in a fifth step, processing the fourth data sets into fifth data sets by modifying the pixel intensities within each fourth data set so that all pixels within each fourth data set have the same intensity; in a sixth step, converting the fifth data sets into sixth data sets containing, for each pixel in each of the fifth data sets, data, for example RGB data, representing a particular color and data representing a selected opacity level (.alpha.); and using the sixth data sets to produce a display an image of the body part that highlights the likelihood of the existence of a pathological condition.