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Cardiac mechanical parameter calibration based on the unscented transform

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

Standard

Cardiac mechanical parameter calibration based on the unscented transform. / Marchesseau, Stéphanie; Delingette, Hervé; Sermesant, Maxime; Rhode, Kawal; Duckett, Simon G; Rinaldi, C Aldo; Razavi, Reza; Ayache, Nicholas.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II. Berlin : Springer, 2012. p. 41-8 (Lecture Notes in Computer Science; Vol. 7511).

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

Harvard

Marchesseau, S, Delingette, H, Sermesant, M, Rhode, K, Duckett, SG, Rinaldi, CA, Razavi, R & Ayache, N 2012, Cardiac mechanical parameter calibration based on the unscented transform. in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science, vol. 7511, Springer, Berlin, pp. 41-8. https://doi.org/10.1007/978-3-642-33418-4_6

APA

Marchesseau, S., Delingette, H., Sermesant, M., Rhode, K., Duckett, S. G., Rinaldi, C. A., Razavi, R., & Ayache, N. (2012). Cardiac mechanical parameter calibration based on the unscented transform. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (pp. 41-8). (Lecture Notes in Computer Science; Vol. 7511). Springer. https://doi.org/10.1007/978-3-642-33418-4_6

Vancouver

Marchesseau S, Delingette H, Sermesant M, Rhode K, Duckett SG, Rinaldi CA et al. Cardiac mechanical parameter calibration based on the unscented transform. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II. Berlin: Springer. 2012. p. 41-8. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-33418-4_6

Author

Marchesseau, Stéphanie ; Delingette, Hervé ; Sermesant, Maxime ; Rhode, Kawal ; Duckett, Simon G ; Rinaldi, C Aldo ; Razavi, Reza ; Ayache, Nicholas. / Cardiac mechanical parameter calibration based on the unscented transform. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II. Berlin : Springer, 2012. pp. 41-8 (Lecture Notes in Computer Science).

Bibtex Download

@inbook{3711bb572420406a8bffd4a7f274d364,
title = "Cardiac mechanical parameter calibration based on the unscented transform",
abstract = "Patient-specific cardiac modelling can help in understanding pathophysiology and predict therapy planning. However it requires to personalize the model geometry, kinematics, electrophysiology and mechanics. Calibration aims at providing global values (space invariant) of parameters before performing the personalization stage which involves solving an inverse problem to find regional values. We propose an automatic calibration method of the mechanical parameters of the Bestel-Cl{\'e}ment-Sorine (BCS) electromechanical model of the heart based on the Unscented Transform algorithm. A sensitivity analysis is performed that reveals which observations on the volume and pressure evolution are significant to characterize the global behaviour of the myocardium. We show that the calibration method gives satisfying results by optimizing up to 7 parameters of the BCS model in only one iteration. This method was evaluated on 7 volunteers and 2 heart failure patients, with a mean relative error from the real data of 11%. This calibration enabled furthermore a preliminary study of the specific parameters to the studied pathologies.",
keywords = "Models, Cardiovascular, Heart Conduction System, Computer Simulation, Blood Pressure, Blood Flow Velocity, Myocardial Contraction, Humans, Excitation Contraction Coupling, Coronary Circulation, Algorithms, Calibration",
author = "St{\'e}phanie Marchesseau and Herv{\'e} Delingette and Maxime Sermesant and Kawal Rhode and Duckett, {Simon G} and Rinaldi, {C Aldo} and Reza Razavi and Nicholas Ayache",
year = "2012",
doi = "10.1007/978-3-642-33418-4_6",
language = "English",
isbn = "978-3-642-33417-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "41--8",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Cardiac mechanical parameter calibration based on the unscented transform

AU - Marchesseau, Stéphanie

AU - Delingette, Hervé

AU - Sermesant, Maxime

AU - Rhode, Kawal

AU - Duckett, Simon G

AU - Rinaldi, C Aldo

AU - Razavi, Reza

AU - Ayache, Nicholas

PY - 2012

Y1 - 2012

N2 - Patient-specific cardiac modelling can help in understanding pathophysiology and predict therapy planning. However it requires to personalize the model geometry, kinematics, electrophysiology and mechanics. Calibration aims at providing global values (space invariant) of parameters before performing the personalization stage which involves solving an inverse problem to find regional values. We propose an automatic calibration method of the mechanical parameters of the Bestel-Clément-Sorine (BCS) electromechanical model of the heart based on the Unscented Transform algorithm. A sensitivity analysis is performed that reveals which observations on the volume and pressure evolution are significant to characterize the global behaviour of the myocardium. We show that the calibration method gives satisfying results by optimizing up to 7 parameters of the BCS model in only one iteration. This method was evaluated on 7 volunteers and 2 heart failure patients, with a mean relative error from the real data of 11%. This calibration enabled furthermore a preliminary study of the specific parameters to the studied pathologies.

AB - Patient-specific cardiac modelling can help in understanding pathophysiology and predict therapy planning. However it requires to personalize the model geometry, kinematics, electrophysiology and mechanics. Calibration aims at providing global values (space invariant) of parameters before performing the personalization stage which involves solving an inverse problem to find regional values. We propose an automatic calibration method of the mechanical parameters of the Bestel-Clément-Sorine (BCS) electromechanical model of the heart based on the Unscented Transform algorithm. A sensitivity analysis is performed that reveals which observations on the volume and pressure evolution are significant to characterize the global behaviour of the myocardium. We show that the calibration method gives satisfying results by optimizing up to 7 parameters of the BCS model in only one iteration. This method was evaluated on 7 volunteers and 2 heart failure patients, with a mean relative error from the real data of 11%. This calibration enabled furthermore a preliminary study of the specific parameters to the studied pathologies.

KW - Models, Cardiovascular

KW - Heart Conduction System

KW - Computer Simulation

KW - Blood Pressure

KW - Blood Flow Velocity

KW - Myocardial Contraction

KW - Humans

KW - Excitation Contraction Coupling

KW - Coronary Circulation

KW - Algorithms

KW - Calibration

U2 - 10.1007/978-3-642-33418-4_6

DO - 10.1007/978-3-642-33418-4_6

M3 - Conference paper

C2 - 23286030

SN - 978-3-642-33417-7

T3 - Lecture Notes in Computer Science

SP - 41

EP - 48

BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

PB - Springer

CY - Berlin

ER -

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