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 norma...

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Detalles Bibliográficos
Autores: Peng, Chenxi, Chen, Xiaojing, Zhu, Libin, de Juan, Anna, Tauler, Romà
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/399213
Acceso en línea:http://hdl.handle.net/10261/399213
https://api.elsevier.com/content/abstract/scopus_id/105014546916
Access Level:acceso abierto
Palabra clave:Visible near-infrared imaging
Biological analysis
Hyperspectral imaging
Multivariate curve resolution
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Descripción
Sumario: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.