Selective tessellation algorithm for modeling interactions between surgical instruments and tissues

Yunhe Shen, Venkat Devarajan, Robert Eberhart, Mark Watson, Jitesh Butala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We present a selective spatial tessellation algorithm that is specifically optimized for instrument-to-tissue and instrument-to-instrument collision detection cases, which are the essential part of interaction modeling in surgery simulation with haptic feedback. Virtual surgeries demand haptic rate collision solutions only when instruments are involved in collisions. Other collision cases can be processed at slower rates. The proposed selective tessellation algorithm is capable of differentiating among various collision cases and assigning different priorities to their processing. Without making assumptions about any object movement, the algorithm derives clipping volume as collision detection regions which tightly enclose the objects of interest. Results of implementation of the algorithm in a surgical simulation are provided.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages506-511
Number of pages6
Volume119
StatePublished - 2006
EventMedicine Meets Virtual Reality 14 - Accelerating Change in Healthcare: Next Medical Toolkit, MMVR 2006 - Long Beach, CA, United States
Duration: Jan 24 2006Jan 27 2006

Other

OtherMedicine Meets Virtual Reality 14 - Accelerating Change in Healthcare: Next Medical Toolkit, MMVR 2006
CountryUnited States
CityLong Beach, CA
Period1/24/061/27/06

Fingerprint

Surgical Instruments
Tissue
Surgery
Feedback
Processing

Keywords

  • Collision detection
  • Collision response
  • Object modeling and virtual reality

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Shen, Y., Devarajan, V., Eberhart, R., Watson, M., & Butala, J. (2006). Selective tessellation algorithm for modeling interactions between surgical instruments and tissues. In Studies in Health Technology and Informatics (Vol. 119, pp. 506-511)

Selective tessellation algorithm for modeling interactions between surgical instruments and tissues. / Shen, Yunhe; Devarajan, Venkat; Eberhart, Robert; Watson, Mark; Butala, Jitesh.

Studies in Health Technology and Informatics. Vol. 119 2006. p. 506-511.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shen, Y, Devarajan, V, Eberhart, R, Watson, M & Butala, J 2006, Selective tessellation algorithm for modeling interactions between surgical instruments and tissues. in Studies in Health Technology and Informatics. vol. 119, pp. 506-511, Medicine Meets Virtual Reality 14 - Accelerating Change in Healthcare: Next Medical Toolkit, MMVR 2006, Long Beach, CA, United States, 1/24/06.
Shen Y, Devarajan V, Eberhart R, Watson M, Butala J. Selective tessellation algorithm for modeling interactions between surgical instruments and tissues. In Studies in Health Technology and Informatics. Vol. 119. 2006. p. 506-511
Shen, Yunhe ; Devarajan, Venkat ; Eberhart, Robert ; Watson, Mark ; Butala, Jitesh. / Selective tessellation algorithm for modeling interactions between surgical instruments and tissues. Studies in Health Technology and Informatics. Vol. 119 2006. pp. 506-511
@inproceedings{7506487e8e1949518902d8ada259f3d7,
title = "Selective tessellation algorithm for modeling interactions between surgical instruments and tissues",
abstract = "We present a selective spatial tessellation algorithm that is specifically optimized for instrument-to-tissue and instrument-to-instrument collision detection cases, which are the essential part of interaction modeling in surgery simulation with haptic feedback. Virtual surgeries demand haptic rate collision solutions only when instruments are involved in collisions. Other collision cases can be processed at slower rates. The proposed selective tessellation algorithm is capable of differentiating among various collision cases and assigning different priorities to their processing. Without making assumptions about any object movement, the algorithm derives clipping volume as collision detection regions which tightly enclose the objects of interest. Results of implementation of the algorithm in a surgical simulation are provided.",
keywords = "Collision detection, Collision response, Object modeling and virtual reality",
author = "Yunhe Shen and Venkat Devarajan and Robert Eberhart and Mark Watson and Jitesh Butala",
year = "2006",
language = "English (US)",
isbn = "1586035835",
volume = "119",
pages = "506--511",
booktitle = "Studies in Health Technology and Informatics",

}

TY - GEN

T1 - Selective tessellation algorithm for modeling interactions between surgical instruments and tissues

AU - Shen, Yunhe

AU - Devarajan, Venkat

AU - Eberhart, Robert

AU - Watson, Mark

AU - Butala, Jitesh

PY - 2006

Y1 - 2006

N2 - We present a selective spatial tessellation algorithm that is specifically optimized for instrument-to-tissue and instrument-to-instrument collision detection cases, which are the essential part of interaction modeling in surgery simulation with haptic feedback. Virtual surgeries demand haptic rate collision solutions only when instruments are involved in collisions. Other collision cases can be processed at slower rates. The proposed selective tessellation algorithm is capable of differentiating among various collision cases and assigning different priorities to their processing. Without making assumptions about any object movement, the algorithm derives clipping volume as collision detection regions which tightly enclose the objects of interest. Results of implementation of the algorithm in a surgical simulation are provided.

AB - We present a selective spatial tessellation algorithm that is specifically optimized for instrument-to-tissue and instrument-to-instrument collision detection cases, which are the essential part of interaction modeling in surgery simulation with haptic feedback. Virtual surgeries demand haptic rate collision solutions only when instruments are involved in collisions. Other collision cases can be processed at slower rates. The proposed selective tessellation algorithm is capable of differentiating among various collision cases and assigning different priorities to their processing. Without making assumptions about any object movement, the algorithm derives clipping volume as collision detection regions which tightly enclose the objects of interest. Results of implementation of the algorithm in a surgical simulation are provided.

KW - Collision detection

KW - Collision response

KW - Object modeling and virtual reality

UR - http://www.scopus.com/inward/record.url?scp=33645734216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645734216&partnerID=8YFLogxK

M3 - Conference contribution

SN - 1586035835

SN - 9781586035839

VL - 119

SP - 506

EP - 511

BT - Studies in Health Technology and Informatics

ER -