A Method to Compute Respiration Parameters for Patient-based Simulators

P.-F. Villard; F. P. Vidal; F. Bello; N. W. John

A Method to Compute Respiration Parameters for Patient-based Simulators

P.-F. Villard, F. P. Vidal, F. Bello, N. W. John

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.

Original language	English
Title of host publication	Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)
Place of Publication	Newport Beach, California
Publisher	IOS Press
Pages	529-533
Number of pages	5
Volume	173
ISBN (Electronic)	978-1-61499-022-2
ISBN (Print)	978-1-61499-021-5
Publication status	Published - 1 Feb 2012
Event	Medicine Meets Virtual Reality 19 - Newport Beach, United States Duration: 9 Feb 2012 → 11 Feb 2012 http://www.nextmed.com/

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press

Conference

Conference	Medicine Meets Virtual Reality 19
Abbreviated title	MMVR19
Country/Territory	United States
City	Newport Beach
Period	9/02/12 → 11/02/12
Internet address	http://www.nextmed.com/

Cite this

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title = "A Method to Compute Respiration Parameters for Patient-based Simulators",

abstract = "We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.",

author = "P.-F. Villard and Vidal, {F. P.} and F. Bello and John, {N. W.}",

note = "Winner of the best poster award; Medicine Meets Virtual Reality 19, MMVR19 ; Conference date: 09-02-2012 Through 11-02-2012",

year = "2012",

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language = "English",

isbn = "978-1-61499-021-5",

volume = "173",

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publisher = "IOS Press",

pages = "529--533",

booktitle = "Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)",

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}

Villard, P-F, Vidal, FP, Bello, F & John, NW 2012, A Method to Compute Respiration Parameters for Patient-based Simulators. in Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19). vol. 173, Studies in Health Technology and Informatics, IOS Press, Newport Beach, California, pp. 529-533, Medicine Meets Virtual Reality 19, Newport Beach, United States, 9/02/12.

A Method to Compute Respiration Parameters for Patient-based Simulators. / Villard, P.-F.; Vidal, F. P.; Bello, F. et al.
Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19). Vol. 173 Newport Beach, California: IOS Press, 2012. p. 529-533 (Studies in Health Technology and Informatics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Method to Compute Respiration Parameters for Patient-based Simulators

AU - Villard, P.-F.

AU - Vidal, F. P.

AU - Bello, F.

AU - John, N. W.

N1 - Winner of the best poster award

PY - 2012/2/1

Y1 - 2012/2/1

N2 - We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.

AB - We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.

M3 - Conference contribution

SN - 978-1-61499-021-5

VL - 173

T3 - Studies in Health Technology and Informatics

SP - 529

EP - 533

BT - Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)

PB - IOS Press

CY - Newport Beach, California

T2 - Medicine Meets Virtual Reality 19

Y2 - 9 February 2012 through 11 February 2012

ER -

A Method to Compute Respiration Parameters for Patient-based Simulators

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