Scatter orientation index and texture analysis of human breast tissues using multi-spectral, multi-spatial frequency structured light imaging (Conference Presentation)

Samuel S. Streeter; Elizabeth J. Rizzo; Wendy A. Wells; Keith D. Paulsen; Brian W. Pogue

doi:10.1117/12.2542840

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10 March 2020 Scatter orientation index and texture analysis of human breast tissues using multi-spectral, multi-spatial frequency structured light imaging (Conference Presentation)

Samuel S. Streeter, Elizabeth J. Rizzo, Wendy A. Wells, Keith D. Paulsen, Brian W. Pogue

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Proceedings Volume 11253, Biomedical Applications of Light Scattering X; 1125305 (2020) https://doi.org/10.1117/12.2542840
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Biological tissue characterization using optical imaging techniques often focus on optical property quantification, a process that relies on a diffuse or sub-diffuse light transport model. Assumptions associated with each light transport model reduce the applicability and increase the computational and/or experimental complexity of the techniques. Scattering orientation index and texture metrics quantified for human breast tissues are free of light transport assumptions and were quantified using the demodulated reflectance from wide-field structured light imaging. This work suggests that wide-field tissue diagnostics might be possible without model-based optical property quantification and instead using assumption-free scatter orientation and textural information.

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Samuel S. Streeter, Elizabeth J. Rizzo, Wendy A. Wells, Keith D. Paulsen, and Brian W. Pogue "Scatter orientation index and texture analysis of human breast tissues using multi-spectral, multi-spatial frequency structured light imaging (Conference Presentation)", Proc. SPIE 11253, Biomedical Applications of Light Scattering X, 1125305 (10 March 2020); https://doi.org/10.1117/12.2542840

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