Presentation + Paper
14 February 2018 Towards multispectral endoscopic imaging of cardiac lesion assessment and classification for cardiac ablation therapy
Author Affiliations +
Abstract
Pulmonary vein (PV) isolation is a critical procedure for the treatment and termination of atrial fibrillation (AF). The success of such treatment depends on the extent of tissue damage, where partial lesions can allow abnormal electrical conduction and risk relapse of AF. Proper evaluation of lesion delivery and ablation line continuity remains challenging with current techniques and in part limit procedural efficacy. A tool for direct visualization of endo-myocardial lesions in vivo could potentially reduce ambiguity in treatment location and extent and improve the overall fidelity of lesion sets. In this work, we introduce a method for wide-field visualization of myocardial tissue including the discernment of ablated and non-ablated regions using an endoscopic multispectral imaging system (EMIS). The system was designed to fit the working channel of most commercial sheathes (<4 Fr) and supported quadruple-wavelength reflectance imaging through a flexible fiber-bundle. A total of 50 endocardial lesions were created and imaged on nine swine hearts, ex vivo in addition to 15 lesions on human LA samples near PV regions. A pixel-wise linear discriminant analysis algorithm was developed to classify regions of ablation treatment based on calibrated EMI maps. Results show good agreement of treatment severity and spatial extent compared to post-hoc tissue vital staining.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Soo Young Park, Rajinder P. Singh-Moon, and Christine P. Hendon "Towards multispectral endoscopic imaging of cardiac lesion assessment and classification for cardiac ablation therapy", Proc. SPIE 10471, Diagnostic and Therapeutic Applications of Light in Cardiology 2018, 104710T (14 February 2018); https://doi.org/10.1117/12.2292583
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Tissues

Multispectral imaging

Visualization

Endoscopy

Imaging systems

Endoscopes

Natural surfaces

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