Presentation
13 March 2024 The data-driven detection of advancing collagen development in liver fibrosis from multi-spectral photoacoustic imaging
Author Affiliations +
Abstract
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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valeria Grasso, Laith R. Sultan, Chandra M. Sehgal, and Jithin Jose "The data-driven detection of advancing collagen development in liver fibrosis from multi-spectral photoacoustic imaging", Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC128420X (13 March 2024); https://doi.org/10.1117/12.3003270
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KEYWORDS
Collagen

Liver

Photoacoustic imaging

In vivo imaging

Matrices

Photoacoustic spectroscopy

Signal intensity

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