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

Authors:
Cristian A. Linte;Marcin Wierzbicki;John Moore;Stephen H. Little;Gérard M. Guiraudon;Terry M. Peters
Affiliations:
Biomedical Engineering Graduate Program, University of Western Ontario, London, ON, Canada and Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada;Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada;Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada;Division of Cardiology, University of Western Ontario, London, ON, Canada and Canadian Surgical Technologies & Advanced Robotics, London, ON, Canada;Biomedical Engineering Graduate Program, University of Western Ontario, London, ON, Canada and Canadian Surgical Technologies & Advanced Robotics, London, ON, Canada;Biomedical Engineering Graduate Program, University of Western Ontario, London, ON, Canada and Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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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 intraoperative virtual environment.