4.3 Article

Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues

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WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S1793545823300045

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Polarimetry; indices of polarimetric purity; organic tissues visualization; artificial intelligence

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Polarimetry is an optical technique widely used in various fields, including biomedical research. It has been found that the polarimetric properties of biological samples, such as retardance, dichroism, and depolarization, can be measured to provide valuable information. This study focuses on investigating different depolarization metrics for biomedical applications and proposes the use of indices of polarimetric purity (IPPs) for biological tissue inspection. Results show that IPPs outperform the commonly used depolarization index, enhancing contrast between tissue structures and revealing hidden structures. Additionally, IPPs and other depolarizing observables demonstrate potential for accurate classification of different tissues.
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 effect in turbid media as biological tissues. In turn, retardance and dichroic effects are produced by tissue anisotropies and can lead to depolarization too. Since depolarization is a predominant effect in tissue samples, we focus on studying different 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 different 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 different tissues obtained from ex vivo chicken samples (muscle, tendon, myotendinous junction and bone), reaching accurate models for tissue classification.

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