Enhanced spectral unmixing scheme with unknown target spectral signature in multispectral photoacoustic tomography

Yihan Wang; Menglu Xu; Chu Tang; Qing Li; Kehua Zan; Shouping Zhu

doi:10.1117/12.2579092

5 March 2021 Enhanced spectral unmixing scheme with unknown target spectral signature in multispectral photoacoustic tomography

Yihan Wang, Menglu Xu, Chu Tang, Qing Li, Kehua Zan, Shouping Zhu

Author Affiliations +

Proceedings Volume 11642, Photons Plus Ultrasound: Imaging and Sensing 2021; 116423M (2021) https://doi.org/10.1117/12.2579092
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

Multispectral Photoacoustic Tomography (MSPAT) is capable of visualizing the concentration distribution of various chromophores in biological tissues, where the unmixing process is usually performed with the spectral fitting method that requires the absorption spectral signatures of all chromophores in the tissue to be known. However, due to the changes of spectral signatures of some exogenous contrast agents in vitro and in vivo, the conventional fitting method will be hindered. Although the blind unmixing algorithms do not require the exact absorption spectrum of each chromophore in advance, it is often sensitive to noise, which may lead to low quantitative results. Considering that the non-negativity of concentration distribution and absorption spectra of the chromophores as well as the sparsity of concentration image of exogenous contrast agent in the gradient domain, we herein propose a modified MSPAT implementation that utilizes a non-negative matrix factorization iterative reconstruction framework with the support of a priori information of spectral signature of oxy-/deoxy-hemoglobin and valid sparsity regularization during the iteration. Consequently, the spectral signature of the exogenous contrast agent and the concentration distribution of each chromophore can be recovered simultaneously. The proposed approach has been validated by simulation and in vivo experiments, exhibiting promising performances in image fidelity even when the multi-wavelength photoacoustic tomographic images used for spectral unmixing are affected by noise or reconstruction artifacts.

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Yihan Wang, Menglu Xu, Chu Tang, Qing Li, Kehua Zan, and Shouping Zhu "Enhanced spectral unmixing scheme with unknown target spectral signature in multispectral photoacoustic tomography", Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116423M (5 March 2021); https://doi.org/10.1117/12.2579092

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