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Proceedings Paper

Robust classification of contact orientation between tissue and an integrated spectroscopy and radiofrequency ablation catheter
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Paper Abstract

Using light-based catheters for radiofrequency ablation (RFA) therapies grants the ability to accurately derive tissue properties such as lesion depth and overtreatment from spectroscopic information. However, this information is heavily reliant on contact quality with the treatment area and the orientation of the catheter. Thus to improve assessments of tissue properties, this work utilizes Bayesian modelling to classify whether the catheter is indeed in proper contact with the tissue. Initially in-laboratory experiments were conducted with ten fresh swine hearts submerged in blood. A total of 1555 unique near infrared spectra were collected from a spectrometer using a light-based catheter and manually tagged as “full perpendicular contact,” “angled contact,” and “no contact,” between the catheter and heart tissue. Three features were prominent in all spectra for distinguishing purposes: area underneath the spectra, an intensity “valley” between 730 nm and 800 nm, along with the slope between 850 nm and 1150 nm. A classifier featuring bootstrapping, adaboost, and k-means techniques was thus created and achieved a 96.05% accuracy in classifying full contact, 98.33% accuracy in classifying angled contact, and 100% accuracy in classifying no contact.

Paper Details

Date Published: 8 February 2017
PDF: 9 pages
Proc. SPIE 10042, Diagnostic and Therapeutic Applications of Light in Cardiology, 100420O (8 February 2017); doi: 10.1117/12.2251654
Show Author Affiliations
Mohammad Zaryab, Columbia Univ. (United States)
Rajinder P. Singh-Moon, Columbia Univ. (United States)
Christine P. Hendon, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 10042:
Diagnostic and Therapeutic Applications of Light in Cardiology
Guillermo J. Tearney M.D.; Kenton W. Gregory M.D.; Laura Marcu, Editor(s)

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