DocumentCode :
806375
Title :
Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions
Author :
Delingette, Hervé ; Pennec, Xavier ; Soler, Luc ; Marescaux, Jacques ; Ayache, AndNicholas
Author_Institution :
Asclepius Res. Project, INRIA, Sophia Antipolis
Volume :
94
Issue :
9
fYear :
2006
Firstpage :
1678
Lastpage :
1688
Abstract :
Medical image analysis plays a crucial role in the diagnosis, planning, control, and follow-up of therapy. To be combined efficiently with medical robotics, medical image analysis can be supported by the development of specific computational models of the human body operating at various levels. We describe a hierarchy of these computational models, including the geometrical, physical, and physiological levels, and illustrate their potential use in a number of advanced medical applications including image-guided robot-assisted and simulated medical interventions. We conclude with scientific perspectives
Keywords :
augmented reality; medical computing; medical image processing; medical robotics; physiological models; surgery; anatomical models; augmented reality; biomechanics; brain shift; human body computational models; image-guided medical interventions; medical image analysis; medical robotics; physiological models; robot -assisted medical interventions; simulated medical interventions; surgery simulation; Biological system modeling; Biomedical imaging; Computational modeling; Humans; Image analysis; Medical diagnostic imaging; Medical robotics; Medical simulation; Medical treatment; Solid modeling; Anatomical models; augmented reality; biomechanics; brain shift; computational models; medical image analysis; medical robotics; physiological models; surgery simulation;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2006.880718
Filename :
1717785
Link To Document :
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