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

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书目名称Computer Vision, Virtual Reality and Robotics in Medicine
副标题First International
编辑Nicholas Ayache
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision, Virtual Reality and Robotics in Medicine; First International  Nicholas Ayache Conference proceedings 1995 Springer-Verlag
描述This book contains the written contributions to the program of the First In­ ternational Conference on Computer Vision, Virtual Reality, and Robotics in Medicine (CVRMed‘95) held in Nice during the period April 3-6, 1995. The articles are regrouped into a number of thematic sessions which cover the three major topics of the field: medical image understanding, registration problems in medicine, and therapy planning, simulation and control. The objective of the conference is not only to present the most innovative and promising research work but also to highlight research trends and to foster dialogues and debates among participants. This event was decided after a preliminary successful symposium organized in Stanford in March 1994 by E. Grimson (MIT), T. Kanade (CMU), R. Kikinis and W. Wells (Chair) (both at Harvard Medical School and Brigham and Women‘s Hospital), and myself (INRIA). We received 92 submitted full papers, and each one was evaluated by at least three members of the Program Committee, with the help of auxiliary reviewers. Based on these evaluations, a representative subset of the Program Committee met to select 19 long papers, 29 regular papers, and 27 posters. The ge
出版日期Conference proceedings 1995
关键词Augmented Reality; computer vision; robot; robotics; simulation; therapy; virtual reality
版次1
doihttps://doi.org/10.1007/978-3-540-49197-2
isbn_softcover978-3-540-59120-7
isbn_ebook978-3-540-49197-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1995
The information of publication is updating

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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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