Titlebook: Computer Vision, Virtual Reality and Robotics in Medicine; First International Nicholas Ayache Conference proceedings 1995 Springer-Verlag

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A New Framework for Fusing Stereo Images with Volumetric Medical Imagesgery or radiotherapy, but also in video surgery (laparoscopy). Recently, computer vision techniques have been proposed to find this correspondence without any artificial markers. Following the pioneering work of [GLPI.94], [CZH.94], [CDT.92], [SHK94] and [STAL94], we propose in this paper an alterna

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Registration of 3-D Surface Data for Intra-Operative Guidance and Visualization in Frameless Stereot during neurosurgery. Ultimately, our aim is to provide a system that supplants traditional frame-based stereotactic techniques while achieving comparable accuracy. For registration we employ chamfer-matching in conjunction with a cost function that is robust to ‘outliers’. To balance robustness and

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Virtual Space Editing of Tagged MRI Heart Data to map the heart contours accurately in each slice at each imaged time. Neither an algorithm nor a human has been found able to do this on the evidence contained in a single slice; machine estimates must be corrected by humans, using criteria of 4D (space and time) consistency. This has taken a ful

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Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Techniqueent paintbrush. This intelligence is based on a partitioning of the image in segmentation primitives, which are computed automatically by merging watershed regions with similar image intensity distribution using the Minimum Description Length principle. We show results for Magnetic Resonance images

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