Analysis of ischemic intestinal tissue composition based on visible and near-infrared reflectance hyperspectral imaging and multivariate curve resolution.

Acute mesenteric ischemia (AMI) is a life-threatening, rapidly progressive disease. Conventional diagnostic methods have their own limitations. Therefore, a non-invasive, real-time and efficient diagnostic method is needed. Hyperspectral imaging (HSI) has the potential to differentiate between normal and necrotic intestinal tissue as a non-invasive, real-time imaging modality. In this study, hyperspectral images of intestinal rabbit tissue were analyzed over time with multivariate curve resolution (MCR) to identify and visualize the evolution of necrotic segments. VIS-NIR reflectance spectral data obtained by HSI showed characteristic peaks that distinguish normal and necrotic tissues. Ultimately, three-dimensional data, spectral, spatial, and temporal, were simultaneously analyzed in this study. The results demonstrated that combining MCR with HSI can accurately detect intestinal necrosis and analyze its progression over time. This study provides a robust foundation for improving AMI diagnosis and offers a new perspective for non-invasive evaluation of intestinal viability, with significant implications for clinical decision-making and patient outcomes.