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Proceedings Paper

A novel technique for the three-dimensional visualization of radio-frequency ablation lesions using delayed enhancement magnetic resonance imaging
Author(s): Benjamin R. Knowles; Dennis Caulfield; Matthew Ginks; Michael Cooklin; Julian Bostock; Aldo Rinaldi; Jaswinder Gill; Reza Razavi; Tobias Schaeffter; Kawal S. Rhode
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Paper Abstract

The detection of radio-frequency ablation lesions has been shown to be feasible using delayed enhancement magnetic resonance imaging (MRI). However, it is the determination of the lesion patterns that is of import for correlation with clinical outcome and location of gaps. Visualisation of ablation patterns on two-dimensional (2D) MR images is not intuitive. We present a technique for the three-dimensional (3D) visualisation of ablation patterns by creating a surface from a segmentation of the cardiac chamber of interest, fusing with the delayed enhancement MRI and integrating the MR signal along vectors normal to the cardiac surface. Areas of delayed enhancement will have a larger integral value than healthy myocardium. Maximum intensity projection (MIP) values were used to colour code the cardiac surface for 3D visualisation of the areas of delayed enhancement. The technique was applied to three patients with a cardiac arrhythmia, with successful visualisation of the ablation pattern. Patterns of delayed enhancement were correlated with ablation points derived from electro-anatomical mapping systems (EAMS) and were found to have similar patterns. This visualisation technique allows for the intuitive visualisation of ablation lesions and has many applications for use in electrophysiology.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610E (13 March 2009); doi: 10.1117/12.812272
Show Author Affiliations
Benjamin R. Knowles, St. Thomas' Hospital, King's College London (United Kingdom)
Dennis Caulfield, St. Thomas' Hospital, King's College London (United Kingdom)
Matthew Ginks, St. Thomas' Hospital, King's College London (United Kingdom)
Michael Cooklin, Guy's and St Thomas' NHS Foundation Trust, St. Thomas' Hospital (United Kingdom)
Julian Bostock, Guy's and St Thomas' NHS Foundation Trust, St. Thomas' Hospital (United Kingdom)
Aldo Rinaldi, Guy's and St Thomas' NHS Foundation Trust, St. Thomas' Hospital (United Kingdom)
Jaswinder Gill, Guy's and St Thomas' NHS Foundation Trust, St. Thomas' Hospital (United Kingdom)
Reza Razavi, St. Thomas' Hospital, King's College London (United Kingdom)
Tobias Schaeffter, St. Thomas' Hospital, King's College London (United Kingdom)
Kawal S. Rhode, St. Thomas' Hospital, King's College London (United Kingdom)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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