the laser source-detector unit that consists of a well containing two rings with 84 detectors each and a single laser mounted on a circular platform. This working array of CTLM device rotates 360 degrees around the breast and takes approximately 16,000 absorption measurements per slice. It then descends to scan the next level after each rotation, creating a slice at each step of thickness 2 or 4 mm, depending on the size of the breast. A total of at least 10 slices was obtained, and the duration for the examination ranged from 10 to 15 minutes for an average sized patient. Reconstruction of the CTLM images is performed slice by slice. The forward model, an estimate of the average optical absorption, is computed for each slice, using the diffusion approximation of the transport equation. It is then compared to the computed tomographic fan-beam measurement of the absorbing perturbations in the slice. These perturbation data are then reconstructed into slice images using a highly modified proprietary filtered back-projection algorithm that converts the fan-beam data into sinographics. It also corrects for geometric distortions due to bulk light-tissue interaction, and compensates for a spatially variant blurring effect that is typical of diffuse optical imaging. 3D images visualization is available immediately after data acquisition. The areas containing well-perfused structures with high hemoglobin concentration are visualized in white or light green, and the areas with no vascularization are seen as dull green or black. Mathematical algorithms reconstruct 3-dimensional translucent images that can be rotated along any axis in real time. In 3D space, the images are analyzed in two different projections, maximum intensity projection (MIP) and front to back projection (FTB), also known as a Surface Rendering Mode. These two modes combined are used to evaluate the vascularization patterns and to distinguish a normal vessel from an abnormal vascularization. Although some benign lesion also showed angiogenesis, increased absorption was observed significantly more often in malignant than in benign lesions. Studies have shown that the shape and texture of angiogenesis in CTLM images are significant characteristics to differentiate malignancy or benign lesions. A computer-aided diagnosis framework containing three main stages, volume of interest (VOI), feature extraction and classification, is used to enhance the performance of radiologist in the interpretation of CTLM images. 3D Fuzzy segmentation technique has been implemented to extract the VOI. Application Image Interpretation Three independent views are offered: the coronal, sagittal, and transverse