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Application of Diffuse Optical Reflectance to Measure Myocardial Wall Thickness and Presence of Infarct Scar: A Monte Carlo Simulation Study

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Functional Imaging and Modeling of the Heart (FIMH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9126))

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Abstract

Catheter ablation in patients suffering from chronic arrhythmias often requires detailed knowledge of the specific myocardial anatomy underlying the catheter tip to guide the delivery of the ablating RF energy. Such information is often lacking in a clinical procedure. In this study, we present a proof-of-concept computational investigation into the potential for using an optical strategy, based-on diffuse optical reflectance, to provide quantitative anatomical measures of underlying myocardial wall thickness and presence of scar. In detailed Monte Carlo simulations of light scattering, significant changes in peak height and FWHM of radial profiles of diffusely reflected light were seen with both changes in tissue thickness and presence of underlying scar. Such changes were seen to occur to different degrees for different wavelengths of light. In conclusion, our findings suggest that examining the ratio of these changes between different wavelengths may provide the potential basis for an optical-catheter to map underlying cardiac anatomy and guide ablation in the clinic.

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Correspondence to Martin J. Bishop .

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© 2015 Springer International Publishing Switzerland

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Tang, Y.C., Bishop, M.J. (2015). Application of Diffuse Optical Reflectance to Measure Myocardial Wall Thickness and Presence of Infarct Scar: A Monte Carlo Simulation Study. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-20309-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20308-9

  • Online ISBN: 978-3-319-20309-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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