Poster + Paper
12 March 2024 Polarimetric-based pseudocoloration techniques for identification of brain tissue
Author Affiliations +
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.
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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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KEYWORDS
Polarimetry

Biological samples

Depolarization

Brain

Brain tissue

Tissues

Inspection

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