A convex cone method for accurate blood oxygenation photoacoustic imaging

Manxiu Cui; Hongzhi Zuo; Bangyan Wang; Xuanhao Wang; Cheng Ma

doi:10.1117/12.2574835

10 October 2020 A convex cone method for accurate blood oxygenation photoacoustic imaging

Manxiu Cui, Hongzhi Zuo, Bangyan Wang, Xuanhao Wang, Cheng Ma

Proceedings Volume 11550, Optoelectronic Imaging and Multimedia Technology VII; 1155006 (2020) https://doi.org/10.1117/12.2574835
Event: SPIE/COS Photonics Asia, 2020, Online Only

Abstract

In multispectral photoacoustic imaging (PAI), the illumination spectrum inside biological tissue varies spatially, leading to poor quantification accuracy of blood oxygen saturation (SO2). The key to solving this problem is to invert light diffusion, which is extremely complicated and inaccurate due to the limited information available in PAI. Despite the great effort devoted, to date, the few available methods are all limited in terms of in vivo performance and physical insights. Here, we introduce an analytical Monte Carlo method, with which we prove that the light spectrum in biological tissue mathematically lies in a high dimensional convex cone set. The model offers new insights into the origin of the spectral deterioration, and we find it possible to calculate blood oxygen saturation (SO2) accurately by using only the photoacoustic data at a single spatial location when signal to noise ratio is sufficient. The method was demonstrated numerically, and our preliminary phantom experiment results also confirmed its effectiveness.

Conference Presentation

Citation Download Citation

Manxiu Cui, Hongzhi Zuo, Bangyan Wang, Xuanhao Wang, and Cheng Ma "A convex cone method for accurate blood oxygenation photoacoustic imaging", Proc. SPIE 11550, Optoelectronic Imaging and Multimedia Technology VII, 1155006 (10 October 2020); https://doi.org/10.1117/12.2574835

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