KEYWORDS: Collagen, Liver, Photoacoustic imaging, Visualization, Tissues, Singular value decomposition, Signal intensity, Photoacoustic spectroscopy, Matrices, In vivo imaging
Liver fibrosis is a global health burden characterized by excessive collagen deposition, impairing liver function. Noninvasive techniques that automatically visualize and quantify collagen content are needed for early detection and monitoring of fibrosis progression. We explored the potential of spectral photoacoustic imaging (sPAI) in monitoring collagen development during liver fibrosis. Here a novel data-driven superpixel PA unmixing (SPAX) framework, has been implemented to differentiate collagen presence and assess its correlation with fibrosis progression non-invasively without any a priori information. Overall, the in-vivo findings highlight the potential of sPAI and SPAX in non-invasively monitoring collagen dynamics and assessing fibrosis severity.
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