The success of balloon angioplasty and stent implantation depends on a balance between two conflicting objectives: maximization of artery lumen patency and minimization of mechanical damage. A finite element model for the patient-specific prediction of balloon angioplasty and stent implantation is proposed as a potential tool to assist clinicians. This paper describes the general methodology and the algorithm that computes device/artery interaction during stent deployment. The potential of the model is demonstrated with examples that include artery model reconstruction, device deployment, and prediction of friction on the arterial wall.
CITATION STYLE
Laroche, D., Delorme, S., Anderson, T., & DiRaddo, R. (2006). Computer prediction of friction in balloon angioplasty and stent implantation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4072 LNCS, pp. 1–8). Springer Verlag. https://doi.org/10.1007/11790273_1
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