Polarimetric-based pseudocoloration techniques for identification of brain tissue

Mónica Canabal-Carbia; Irene Estévez; Iván Montes-González; Juan Campos; Angel Lizana

doi:10.1117/12.3021822

12 March 2024 Polarimetric-based pseudocoloration techniques for identification of brain tissue

Mónica Canabal-Carbia, Irene Estévez, Iván Montes-González, Juan Campos, Angel Lizana

Author Affiliations +

Proceedings Volume 12845, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2024; 128450B (2024) https://doi.org/10.1117/12.3021822
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Polarimetric techniques have widely demonstrated their potential in biophotonics due to its capability to obtain relevant information from biological samples in a noninvasive and nondestructive way. Different polarimetric observables, obtained from the Mueller matrix of a sample, are used to explore the potential of these techniques in pathology detection or different biological structures classification. The physical properties of a sample related to polarization can be divided in three main groups: retardance, dichroism and depolarization. In this work, we propose the study of the polarimetric observables related to these physical properties for the identification of different structures in a biological sample by means of different pseudo-coloration methods. In particular, we study pseudo-coloration functions based on the Gaussian and Cauchy probabilistic functions. These probabilistic functions allow us to compute the probability of a given part of a sample to belong to a particular class (i.e. healthy or pathological or different structures in the same sample) where, this probability depends on the polarimetric observables obtained from the studied sample. We present a study of the different observables and methods to find the best approach for brain tissue identification (identification of gray and white matter in ex-vivo cow brain) and, which may be of interest in multiple biomedical scenarios such as early pathology detection and diagnosis or enhanced visualization of different structures for clinical applications.

Citation Download Citation

Mónica Canabal-Carbia, Irene Estévez, Iván Montes-González, Juan Campos, and Angel Lizana "Polarimetric-based pseudocoloration techniques for identification of brain tissue", Proc. SPIE 12845, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2024, 128450B (12 March 2024); https://doi.org/10.1117/12.3021822

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