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Proceedings Paper

Patient-specific left atrial wall-thickness measurement and visualization for radiofrequency ablation
Author(s): Jiro Inoue; Allan C. Skanes; James A. White; Martin Rajchl; Maria Drangova
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Paper Abstract

INTRODUCTION: For radiofrequency (RF) catheter ablation of the left atrium, safe and effective dosing of RF energy requires transmural left atrium ablation without injury to extra-cardiac structures. The thickness of the left atrial wall may be a key parameter in determining the appropriate amount of energy to deliver. While left atrial wall-thickness is known to exhibit inter- and intra-patient variation, this is not taken into account in the current clinical workflow. Our goal is to develop a tool for presenting patient-specific left atrial thickness information to the clinician in order to assist in the determination of the proper RF energy dose. METHODS: We use an interactive segmentation method with manual correction to segment the left atrial blood pool and heart wall from contrast-enhanced cardiac CT images. We then create a mesh from the segmented blood pool and determine the wall thickness, on a per–vertex basis, orthogonal to the mesh surface. The thickness measurement is visualized by assigning colors to the vertices of the blood pool mesh. We applied our method to 5 contrast-enhanced cardiac CT images. RESULTS: Left atrial wall-thickness measurements were generally consistent with published thickness ranges. Variations were found to exist between patients, and between regions within each patient. CONCLUSION: It is possible to visually determine areas of thick vs. thin heart wall with high resolution in a patient-specific manner.

Paper Details

Date Published: 12 March 2014
PDF: 6 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361N (12 March 2014); doi: 10.1117/12.2043630
Show Author Affiliations
Jiro Inoue, Robarts Research Institute (Canada)
Allan C. Skanes, Univ. of Western Ontario (Canada)
James A. White, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Martin Rajchl, Robarts Research Institute (Canada)
Maria Drangova, Robarts Research Institute (Canada)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes III, Editor(s)

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