We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
International audienceCongenital heart defect (CHD) corrective interventions in infants are extremely challenging due to commonly complex and heterogeneous disease pat-terns. At present, cardiac surgeons can only rely on non-invasive imaging prior to surgery. Critical decisions regarding the surgical procedure of choice and its exe-cution must be made during the actual surgery and are strongly dependent on ex-perience. We want to improve surgery planning by providing a simulation system that is able to accurately predict patient-specific results for different surgical pro-cedures preoperatively. Therefore we use a sophisticated simulation model based on thin shell elements. We present a novel joining approach that allows for im-plementing all necessary surgical low-level procedures, e.g. incising and suturing, independent from the simulation model. No modifications are necessary for al-ready approved thin shell implementations and our simulation system can instan-taneously benefit from further improved simulation models in the future. By re-ducing computationally expensive simulations to a minimum during a virtual surgery we can achieve a fluent workflow for surgeons. However, a specialized mesh resampling algorithm is required to fully utilize our simulation system
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.