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Depolarizing metrics in the biomedical field:Vision enhancement and classification of biological tissues
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作者 mónica canabal-carbia Albert Van Eeckhout +7 位作者 Carla Rodríguez Emilio González-Arnay Irene Estévez JoséJ.Gil Enrique García-Caurel Razvigor Ossikovski Juan Campos Angel Lizana 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2023年第5期3-19,共17页
Polarimetry encompasses a collection of optical techniques broadly used in a variety of fields.Nowadays,such techniques have provided their suitability in the biomedical field through the study of the polarimetric res... Polarimetry encompasses a collection of optical techniques broadly used in a variety of fields.Nowadays,such techniques have provided their suitability in the biomedical field through the study of the polarimetric response of biological samples(retardance,dichroism and depolarization)by measuring certain polarimetric observables.One of these features,depolarization,is mainly produced by scattering on samples,which is a predominant efiect in turbid media as biological tissues.In turn,retardance and dichroic efiects are produced by tissue anisotropies and can lead to depolarization too.Since depolarization is a predominant efiect in tissue samples,we focus on studying difierent depolarization metrics for biomedical applications.We report the suitability of a set of depolarizing observables,the indices of polarimetric purity(IPPs),for biological tissue inspection.We review some results where we demonstrate that IPPs lead to better performance than the depolarization index,which is a well-established and commonly used depolarization observable in the literature.We also provide how IPPs are able to significantly enhance contrast between difierent tissue structures and even to reveal structures hidden by using standard intensity images.Finally,we also explore the classificatory potential of IPPs and other depolarizing observables for the discrimination of difierent tissues obtained from ex vivo chicken samples(muscle,tendon,myotendinous junction and bone),reaching accurate models for tissue classification. 展开更多
关键词 POLARIMETRY indices of polarimetric purity organic tissues visualization artificial intelligence.
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