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

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

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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.

Iaith wreiddiol	Saesneg
Teitl	Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)
Man cyhoeddi	Newport Beach, California
Cyhoeddwr	IOS Press
Tudalennau	529-533
Nifer y tudalennau	5
Cyfrol	173
ISBN (Electronig)	978-1-61499-022-2
ISBN (Argraffiad)	978-1-61499-021-5
Statws	Cyhoeddwyd - 1 Chwef 2012
Digwyddiad	Medicine Meets Virtual Reality 19 - Newport Beach, Yr Unol Daleithiau Hyd: 9 Chwef 2012 → 11 Chwef 2012 http://www.nextmed.com/

Cyfres gyhoeddiadau

Enw	Studies in Health Technology and Informatics
Cyhoeddwr	IOS Press

Cynhadledd

Cynhadledd	Medicine Meets Virtual Reality 19
Teitl cryno	MMVR19
Gwlad/Tiriogaeth	Yr Unol Daleithiau
Dinas	Newport Beach
Cyfnod	9/02/12 → 11/02/12
Cyfeiriad rhyngrwyd	http://www.nextmed.com/

Dyfynnu hyn

@inproceedings{4fd7f161aa3b4672ac8588920d214858,

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",

month = feb,

day = "1",

language = "English",

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

volume = "173",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "529--533",

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

url = "http://www.nextmed.com/",

}

Villard, P-F, Vidal, FP, Bello, F & John, NW 2012, A Method to Compute Respiration Parameters for Patient-based Simulators. yn Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19). cyfrol. 173, Studies in Health Technology and Informatics, IOS Press, Newport Beach, California, tt. 529-533, Medicine Meets Virtual Reality 19, Newport Beach, Yr Unol Daleithiau, 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). Cyfrol 173 Newport Beach, California: IOS Press, 2012. t. 529-533 (Studies in Health Technology and Informatics).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

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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