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. 2022 Nov 19;12(1):19916.
doi: 10.1038/s41598-022-23188-8.

High speed photo-mediated ultrasound therapy integrated with OCTA

Affiliations

High speed photo-mediated ultrasound therapy integrated with OCTA

Yan Li et al. Sci Rep. .

Abstract

Photo-mediated Ultrasound Therapy (PUT), as a new anti-vascular technique, can promote cavitation activity to selectively destruct blood vessels with a significantly lower amount of energy when compared to energy level required by other laser and ultrasound treatment therapies individually. Here, we report the development of a high speed PUT system based on a 50-kHz pulsed laser to achieve faster treatment, decreasing the treatment time by a factor of 20. Furthermore, we integrated it with optical coherence tomography angiography (OCTA) for real time monitoring. The feasibility of the proposed OCTA-guided PUT was validated through in vivo rabbit experiments. The addition of OCTA to PUT allows for quantitative prescreening and real time monitoring of treatment response, thereby enabling implementation of individualized treatment strategies.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Photo and OCTA images of rabbit ear. (a,b) Photo of rabbit ear before and after PUT. (c,d) OCTA images before and after PUT. (e,f) Photo of rabbit ear before and after PUT. (g,h) OCTA images before and after PUT.
Figure 2
Figure 2
Photo and OCTA images of rabbit ear. (a,b) Photo and OCTA image of rabbit ear before PUT. (c,d) Photo and OCTA image after PUT.
Figure 3
Figure 3
Diagram of Double-clad fiber coupler.
Figure 4
Figure 4
Schematic of OCTA-guided PUT system. DCF double clad fiber, SMF single mode fiber, HIFU high intensity focused ultrasound, MMF multimode fiber.
Figure 5
Figure 5
Timing diagram. FG function generator, P/DG pulse delay generator, US ultrasound.
Figure 6
Figure 6
Flow chart of OCTA algorithm. (1) Hanning window and FFT. (2) Intensity-based Doppler variance method to extract blood vessel. (3) OCT image. (4) Edge detection based on OCT image. (5) Flatten image target surface. (6) Generate a binary mask to remove background from Doppler image. (7) Scanning. (8) Bulk motion removal using a low pass filter.

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