Photoacoustic frequency analysis of the ablation-induced necrosis lesion

Shang Gao; Ryo Murakami; Haichong K. Zhang

doi:10.1117/12.3000384

12 March 2024 Photoacoustic frequency analysis of the ablation-induced necrosis lesion

Shang Gao, Ryo Murakami, Haichong K. Zhang

Proceedings Volume 12842, Photons Plus Ultrasound: Imaging and Sensing 2024; 128420V (2024) https://doi.org/10.1117/12.3000384
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Atrial fibrillation (A-fib) affects millions of patients in the US, and percutaneous catheter radiofrequency (RF) ablation is a common treatment. However, the lack of intraoperative feedback on ablation-induced lesions can lead to complications or recurrence. This study investigates the feasibility of using photoacoustic (PA) frequency analysis to identify ablation-induced necrotic lesions in ex vivo liver tissue samples. PA imaging, employing laser-generated ultrasound (US), enables monitoring and mapping of ablation-induced lesions by exploiting spectral differences between ablated and non-ablated tissue. Spectral unmixing techniques in multi-wavelength PA imaging provide real-time monitoring but are impractical due to extended acquisition times. Acoustic frequency-based tissue characterization has previously been reported to examine different contrast sources. In this study, porcine liver tissue samples underwent RF ablation, followed by US/PA imaging scanning. PA signals are processed using Fast Fourier Transformation (FFT) for frequency information extraction. Spectrum unmixing confirms the presence of ablation-induced necrosis. Preliminary results from seven ablation samples demonstrate effective tissue boundary capture and identification of ablated necrotic regions using PA imaging. Frequency spectra analysis shows distinct differences (double-sided P-value < 0.01), with ablated tissue exhibiting lower frequencies. These findings suggest the feasibility of frequency-based PA tissue identification for monitoring ablation procedures. Future work involves developing a tissue characterization algorithm based on frequency analysis to enhance real-time feedback during RF ablation therapy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shang Gao, Ryo Murakami, and Haichong K. Zhang "Photoacoustic frequency analysis of the ablation-induced necrosis lesion", Proc. SPIE 12842, Photons Plus Ultrasound: Imaging and Sensing 2024, 128420V (12 March 2024); https://doi.org/10.1117/12.3000384

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