Photoacoustic imaging for detection of blood clot with different sizes in the brain

Loïc Saint-Martin; Seyed Mohsen Ranjbaran; Kamran Avanaki

doi:10.1117/12.3003550

12 March 2024 Photoacoustic imaging for detection of blood clot with different sizes in the brain

Loïc Saint-Martin, Seyed Mohsen Ranjbaran, Kamran Avanaki

Proceedings Volume 12842, Photons Plus Ultrasound: Imaging and Sensing 2024; 128421B (2024) https://doi.org/10.1117/12.3003550
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

During medical investigations of the head, the presence of skull bone constitutes a major challenge in generating accurate diagnostics. Photoacoustic imaging technology, with its functional imaging capabilities, has demonstrated the potential for brain imaging at low cost and with low maintenance requirements. While photoacoustic signal generation in deep tissue and through the skull has been demonstrated, an effective method of aberration correction for transcranial photoacoustic imaging has not yet been developed. In this study, we present a method based on enfolded deep learning algorithms that accurately compensates for acoustic aberrations caused by the head layers, allowing hemorrhage detection. Using a realistic simulated framework, a large quantity of aberrated images is acquired, reconstructed, and corrected.

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

Citation Download Citation

Loïc Saint-Martin, Seyed Mohsen Ranjbaran, and Kamran Avanaki "Photoacoustic imaging for detection of blood clot with different sizes in the brain", Proc. SPIE 12842, Photons Plus Ultrasound: Imaging and Sensing 2024, 128421B (12 March 2024); https://doi.org/10.1117/12.3003550

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