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Status: Bibliographieeintrag

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Verfasst von:Schoch, Nicolai [VerfasserIn]   i
 Kißler, Fabian [VerfasserIn]   i
 Stoll, Markus [VerfasserIn]   i
 De Simone, Raffaele [VerfasserIn]   i
 Wolf, Ivo [VerfasserIn]   i
 Bendl, Rolf [VerfasserIn]   i
 Heuveline, Vincent [VerfasserIn]   i
Titel:Comprehensive patient-specific information preprocessing for cardiac surgery simulations
Verf.angabe:N. Schoch, F. Kißler, M. Stoll, S. Engelhardt, R. de Simone, I. Wolf, R. Bendl, V. Heuveline
E-Jahr:2016
Jahr:12 April 2016
Umfang:9 S.
Fussnoten:Gesehen am 13.08.2019
Titel Quelle:Enthalten in: International journal of computer assisted radiology and surgery
Ort Quelle:Berlin : Springer, 2006
Jahr Quelle:2016
Band/Heft Quelle:11(2016), 6, Seite 1051-1059
ISSN Quelle:1861-6429
Abstract:PurposePatient-specific biomechanical simulations of the behavior of soft tissue gain importance in current surgery assistance systems as they can provide surgeons with valuable ancillary information for diagnosis and therapy. In this work, we aim at supporting minimally invasive mitral valve reconstruction (MVR) surgery by providing scenario setups for FEM-based soft tissue simulations, which simulate the behavior of the patient-individual mitral valve subject to natural forces during the cardiac cycle after an MVR. However, due to the complexity of these simulations and of their underlying mathematical models, it is difficult for non-engineers to sufficiently understand and adequately interpret all relevant modeling and simulation aspects. In particular, it is challenging to set up such simulations in automated preprocessing workflows such that they are both patient-specific and still maximally comprehensive with respect to the model.MethodsIn this paper, we address this issue and present a fully automated chain of preprocessing operators for setting up comprehensive, patient-specific biomechanical models on the basis of patient-individual medical data. These models are suitable for FEM-based MVR surgery simulation. The preprocessing methods are integrated into the framework of the Medical Simulation Markup Language and allow for automated information processing in a data-driven pipeline.ResultsWe constructed a workflow for holistic, patient-individual information preprocessing for MVR surgery simulations. In particular, we show how simulation preprocessing can be both fully automated and still patient-specific, when using a series of dedicated MVR data analytics operators. The outcome of our operator chain is visualized in order to help the surgeon understand the model setup.ConclusionWith this work, we expect to improve the usability of simulation-based MVR surgery assistance, through allowing for fully automated, patient-specific simulation setups. Combined visualization of the biomechanical model setup and of the corresponding surgery simulation results fosters the understandability and transparency of our assistance environment.
DOI:doi:10.1007/s11548-016-1397-0
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1007/s11548-016-1397-0
 DOI: https://doi.org/10.1007/s11548-016-1397-0
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Automated information processing
 Cardiac surgery
 Simulation preprocessing
 Simulation-based surgery assistance
 Treatment planning
K10plus-PPN:1671250265
Verknüpfungen:→ Zeitschrift

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