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Assessment of morphology and composition of plaques is paramount to characterize their vulnerability. Spectroscopic photoacoustic imaging (sPAI) can image different components, but unmixing accuracy is subject to a proper wavelength selection. In this study, we analyzed the spectral response of plaque tissue in a broad spectral range and proposed a new wavelength selection method based on endmember determination. The method was validated in human plaque samples and phantoms. Results show that our method improves spectral unmixing, and it is possible to characterize plaque composition using at least as many wavelengths as constituents of interest.
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Camilo Antonio Cano Barrera, Min Wu, Marc R. H. M. van Sambeek, Richard G. P. Lopata, "Wavelength optimization in spectroscopic photoacoustic for the characterization of vulnerable carotid plaques," Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116420X (5 March 2021); https://doi.org/10.1117/12.2578395