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Cited by 188

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Interactively deformable models for surgery simulation

Cover, S.A., Ezquerra, N.F., O'Brien, J.F., Rowe, R., Gadacz, T., Palm, E.·1993·IEEE Computer Graphics and Applications

Abstract

A methodology that addresses important issues concerned with the underlying graphical models designed for surgical simulation, as well as issues related to the real-time interactivity with, and manipulation of, these models is presented. The specific application of interest is laparoscopic surgery, which is performed using endoscopes that present a video image of the organs to the clinicians. The surgeon then performs the surgery while looking at the video monitor. The particular focus is gall bladder surgery, which involves various gastrointestinal organs. The overall objective is to simulate this environment by creating realistic, manipulable models of these organs. The models are interactively manipulable and exhibit behavior both visually acceptable and physically accurate. The approach is based on the notion of active surfaces. The rationale, mathematical formalism, and visualization techniques encompassed by the methodology are described. Recent results obtained from applying these methods to the problem of endoscopic gall bladder surgery simulation are presented.>

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Metadata

Authors
Cover, S. A., Ezquerra, N. F., O'Brien, J. F., Rowe, R., Gadacz, T., & Palm, E.
Venue
IEEE Computer Graphics and Applications
Published
1993-11
Volume
13
Issue
6
Pages
68-75
ISSN
0272-1716 (ISSN-L)
OpenAlex
W2070222132
Cited by
188
References
0
FWCI
6.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interactively deformable models for surgery simulation. https://app.cochat.ai/papers/10.1109/38.252559
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Cover, S. A., Ezquerra, N. F., O'Brien, J. F., Rowe, R., Gadacz, T., & Palm, E. (1993). Interactively deformable models for surgery simulation. IEEE Computer Graphics and Applications. https://doi.org/10.1109/38.252559

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.