Abstract
Electroanatomic Mapping (EAM) is an important process in Radio-frequency Catheter Ablations. In EAM, sample points are collected from the patient’s atrium during intervention. This process is subject to inaccuracies contributed by different sources (e.g. tissue deformations and tracking errors). Poisson Surface Reconstruction (PSR) has recently been applied for intra-operative modeling of the left atrium through highly-dense clouds of points extracted from intra-operative and pre-operative imaging. In this work, we study the application of PSR under low-density sampling conditions which occur in some clinical work-flows. For this study we propose a simulation framework that is employed to characterize PSR in terms of accuracy of reconstruction. Our results show that a median error as low as 2.28 mm can be obtained for a maximum of 600 sampled points. These results indicate the feasibility of applying PSR for low-dense clouds of points.
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Notes
- 1.
CARMA Left Atria MRI data-set available on (http://www.insight-journal.org/midas/collection/view/197).
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Acknowledgments
The authors would like to thank the Comprehensive Arrhythmia Research and Management (CARMA) Center, the Center for Integrative Biomedical Computing (CIBC) and the National Institute of Health (NIH), for providing the CARMA Left Atria MRI data-set employed in this research.
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Palomar, R., Cheikh, F.A., Beghdadi, A., Elle, O.J. (2016). Intra-Operative Modeling of the Left Atrium: A Simulation Approach Using Poisson Surface Reconstruction. In: Zheng, G., Liao, H., Jannin, P., Cattin, P., Lee, SL. (eds) Medical Imaging and Augmented Reality. MIAR 2016. Lecture Notes in Computer Science(), vol 9805. Springer, Cham. https://doi.org/10.1007/978-3-319-43775-0_32
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DOI: https://doi.org/10.1007/978-3-319-43775-0_32
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