Issue No. 05 - October (1995 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.464927
Traditional Image Understanding techniques have been developed to address problems such as photo-interpretation, industrial automation, and autonomous vehicle navigation. Although the underlying bases (such as sensory data, shape representations, and end use) for medical imaging problems are very different, IU techniques recently have been retailored to address applications in medicine. To demonstrate the range of roles that IU methods play in medical image utilization, we describe an end-to-end system for image guided surgery, which directly builds on a wide range of IU methods, to provide a surgeon with visualization and guidance during surgical procedures.
computer vision, segmentation, visualization, registration
W. Grimson, "Medical Applications of Image Understanding," in IEEE Intelligent Systems, vol. 10, no. , pp. 18-28, 1995.