Biomedical Image Analysis

Medical image analysis comes to assist in the diagnosis by means of modern computer vision techniques. The applications are modules in the diagnostic workstation, and can serve of a wide variety of clinical tasks: 3D volume imaging, quantitative analysis of anatomical parameters (vessel width, pharmacon uptake, blood velocities, etc.), computer-aided diagnosis (pattern recognition), matching of different modalities, etc. The algorithms are highly dominated by mathematical theory, which makes Mathematica an excellent tool for the design of such algorithms. E.g. shape, texture and optic flow (motion) detection need differential geometry techniques, while pattern recognition relies on statistical and linear algebra methods