Irrigated cardiac endocardial lesion assessment using single fiber-multispectral spectroscopy and neural networks

Soo Young Park; Haiqiu Yang; Rajinder Singh-Moon; Amardeep Saluja; Christine Hendon

doi:10.1117/12.2578506

5 March 2021 Irrigated cardiac endocardial lesion assessment using single fiber-multispectral spectroscopy and neural networks

Soo Young Park, Haiqiu Yang, Rajinder Singh-Moon, Amardeep Saluja, Christine Hendon

Author Affiliations +

Proceedings Volume 11621, Diagnostic and Therapeutic Applications of Light in Cardiology 2021; 1162103 (2021) https://doi.org/10.1117/12.2578506
Event: SPIE BiOS, 2021, Online Only

Abstract

Patients with cardiac arrythmia most commonly require radiofrequency ablation to destroy arrhythmogenic electrical pathways and restore normal heart rhythm. However, arrhythmia resurgence exists from limited means to directly confirm the extent of lesion progression during RFA procedure. Optical spectroscopy is sensitive to tissue optical properties and changes in biomolecular composition. We propose a simplified optical spectroscopy through a single fiber integrated catheter to predict irrigated endocardial lesion progression using deep neural network model on ex-vivo model.

Conference Presentation

Citation Download Citation

Soo Young Park, Haiqiu Yang, Rajinder Singh-Moon, Amardeep Saluja, and Christine Hendon "Irrigated cardiac endocardial lesion assessment using single fiber-multispectral spectroscopy and neural networks", Proc. SPIE 11621, Diagnostic and Therapeutic Applications of Light in Cardiology 2021, 1162103 (5 March 2021); https://doi.org/10.1117/12.2578506

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