Towards subject-specific models of the dynamic heart for image-guided mitral valve surgery

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Abstract

Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools to compensate for the lack of direct vision and to enhance manipulation of intracardiac targets during minimally-invasive, off-pump cardiac interventions. In this paper, we describe a novel method for creating dynamic, pre-operative, subject-specific cardiac models containing the surgical targets and surrounding anatomy, and how they are used to augment the intra-operative virtual environment for guidance of valvular interventions. The accuracy of these pre-operative models was established by comparing the target registration error between the mitral valve annulus characterized in the pre-operative images and their equivalent structures manually extracted from 3D US data. On average, the mitral valve annulus was extracted with a 3.1 mm error across all cardiac phases. In addition, we also propose a method for registering the pre-operative models into the intra-operative virtual environment. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Linte, C. A., Wierzbicki, M., Moore, J., Little, S. H., Guiraudon, G. M., & Peters, T. M. (2007). Towards subject-specific models of the dynamic heart for image-guided mitral valve surgery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4792 LNCS, pp. 94–101). Springer Verlag. https://doi.org/10.1007/978-3-540-75759-7_12

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