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Proceedings Paper

Developing patient-specific anatomic models for validation of cardiac ablation guidance procedures
Author(s): David Holmes; Maryam Rettmann; Bruce Cameron; Jon Camp; Richard Robb
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Paper Abstract

Image-guided cardiac ablation has the potential to decrease procedure times and improve clinical outcome for patients with cardiac arrhythmias. There are several proposed methods for integrating patient-specific anatomy into the cardiac ablation procedure; however, these methods require thorough validation. One of the primary challenges in validation is determining ground truth as a standard for comparison. Some validation protocols have been developed for animals models and even in patients; however, these methods can be costly to implement and may increase the risk to patients. We have developed an approach to building realistic patient-specific anatomic models at a low-cost in order to validate the guidance procedure without introducing additional risk to the patients. Using a pre-procedural cardiac computed tomography scan, the blood pool of the left and right atria of a patient are segmented semi-manually. In addition, several anatomical landmarks are identified in the image data. The segmented atria and landmarks are converted into a polygonalized model which is used to build a thin-walled patient-specific blood pool model in a stereo-lithography system. Thumbscrews are inserted into the model at the landmarks. The entire model is embedded in a platinum silicone material which has been shown to have tissue-mimicking properties relative to ultrasound. Once the pliable mold has set, the blood pool model is extracted by dissolving the rigid material. The resulting physical model correctly mimics a specific patient anatomy with embedded fiducals which can be used for validation experiments. The patient-specific anatomic model approach may also be used for pre-surgical practice and training of new interventionalists.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181W (17 March 2008); doi: 10.1117/12.773215
Show Author Affiliations
David Holmes, Mayo Clinic College of Medicine (United States)
Maryam Rettmann, Mayo Clinic College of Medicine (United States)
Bruce Cameron, Mayo Clinic College of Medicine (United States)
Jon Camp, Mayo Clinic College of Medicine (United States)
Richard Robb, Mayo Clinic College of Medicine (United States)


Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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