Acoustic heterogeneity correction in photoacoustic tomography based on ultrasound tomography

Mingchun Yang; Yiwu Zhao; Chao Tian

doi:10.1117/12.2605964

1 November 2021 Acoustic heterogeneity correction in photoacoustic tomography based on ultrasound tomography

Mingchun Yang, Yiwu Zhao, Chao Tian

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 120572M (2021) https://doi.org/10.1117/12.2605964
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

Abstract

Photoacoustic computed tomography (PACT) is an emerging hybrid imaging modality which can noninvasively reconstruct high-resolution and high-contrast images in deep tissues. However, due to the presence of acoustic heterogeneities within biological tissues, most existing image reconstruction algorithms based on the assumption of constant speed of sound (SOS) will cause image artifacts and distortions. In this paper, to account for the effects of acoustic heterogeneity in PACT image reconstruction, we introduce ultrasound computed tomography (USCT) to provide detailed SOS distribution of the biological tissues and coupling media. Numerical simulation shows that if the variation of SOS is small enough, image reconstruction algorithm with a constant SOS assumption could produce visually acceptable results; otherwise, significant image artifacts and distortions would appear. While with the aid of USCT, image artifacts induced by acoustic heterogeneity in PACT would be effectively suppressed. Since image artifacts and distortions are common image quality degradation factors in PACT, the proposed technique is expected to expedite the development of high-performance imaging, which is essential for widespread applications of PACT.

Citation Download Citation

Mingchun Yang, Yiwu Zhao, and Chao Tian "Acoustic heterogeneity correction in photoacoustic tomography based on ultrasound tomography", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 120572M (1 November 2021); https://doi.org/10.1117/12.2605964

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KEYWORDS

Photoacoustic tomography

Acoustics

Ultrasonography

Blood vessels

Tissues

Image restoration

Reconstruction algorithms

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