Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials

Martin Rajchl; Kamyar Abhari; John Stirrat; Eranga Ukwatta; Diego Cantor; Feng P. Li; Terry M. Peters; James A. White

doi:10.1117/12.2042810

12 March 2014 Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials

Martin Rajchl, Kamyar Abhari, John Stirrat, Eranga Ukwatta, Diego Cantor, Feng P. Li, Terry M. Peters, James A. White

Author Affiliations +

Proceedings Volume 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling; 90361V (2014) https://doi.org/10.1117/12.2042810
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Multi-center trials provide the unique ability to investigate novel techniques across a range of geographical sites with sufficient statistical power, the inclusion of multiple operators determining feasibility under a wider array of clinical environments and work-flows. For this purpose, we introduce a new means of distributing pre-procedural cardiac models for image-guided interventions across a large scale multi-center trial. In this method, a single core facility is responsible for image processing, employing a novel web-based interface for model visualization and distribution. The requirements for such an interface, being WebGL-based, are minimal and well within the realms of accessibility for participating centers. We then demonstrate the accuracy of our approach using a single-center pacemaker lead implantation trial with generic planning models.

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Martin Rajchl, Martin Rajchl, Kamyar Abhari, Kamyar Abhari, John Stirrat, John Stirrat, Eranga Ukwatta, Eranga Ukwatta, Diego Cantor, Diego Cantor, Feng P. Li, Feng P. Li, Terry M. Peters, Terry M. Peters, James A. White, James A. White, "Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361V (12 March 2014); doi: 10.1117/12.2042810; https://doi.org/10.1117/12.2042810

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