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17 March 2023 Polarization sensitive Monte Carlo-based empirical relation to extract the scattering power of peritoneal metastasis
Einstein Gnanatheepam, Robert Trout, Ahmed Gado, Artem Dinh, Martin Hunter, Thomas Schnelldorfer, Irene Georgakoudi
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Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC123630R (2023) https://doi.org/10.1117/12.2651000
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Peritoneal metastases are characterized by significant disruptions in the extracellular matrix. Hence, the scattering cross sections of malignant and benign lesions and surrounding background tissues are distinct. In this work, Monte Carlo based regression was used to develop an empirical relation to extract the scattering power of tissue based on co- and cross-polarized RGB reflectance images of tissue. The empirical relation improved the sensitivity of lesion detection, and discrimination accuracy of malignant and benign lesions. The proposed empirical equation is both accurate and simple, paving the way for real-time diagnostic applications.
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Einstein Gnanatheepam, Robert Trout, Ahmed Gado, Artem Dinh, Martin Hunter, Thomas Schnelldorfer, and Irene Georgakoudi "Polarization sensitive Monte Carlo-based empirical relation to extract the scattering power of peritoneal metastasis", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC123630R (17 March 2023); https://doi.org/10.1117/12.2651000
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KEYWORDS
Scattering
Tissues
Monte Carlo methods
Polarization
Laparoscopy
In vivo imaging
Light scattering
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