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

Author:

Canabal-Carbia Mónica1,Van Eeckhout Albert2,Rodríguez Carla1,González-Arnay Emilio3,Estévez Irene1,Gil José J.4,García-Caurel Enrique5,Ossikovski Razvigor5,Campos Juan1,Lizana Angel1

Affiliation:

1. Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

2. ALBA Synchrotron Light Source, Carrer de la Llum 2-26, 08290, Cerdanyola del Vallès, Barcelona, Spain

3. Servicio deAnatomía Humana, Departamento de Ciencias Médicas Básicas, Universidad de La Laguna, Santa Cruz de Tenerife 38200, Spain

4. Universidad de Zaragoza, Pedro Cerbuna 12, Zaragoza 50009, Spain

5. LPICM, CNRS, Ecole Polytechnique Institut Politechnique de Paris, Palaiseau 91120, France

Abstract

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.

Funder

Spanish MINECO

Catalan Government

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Medicine (miscellaneous),Electronic, Optical and Magnetic Materials

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