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Context-free hyperspectral image enhancement for wide-field optical biomarker visualization


Abstract: Many well-known algorithms for the color enhancement of hyperspectral measurements in biomedical imaging are based on statistical assumptions that vary greatly with respect to the proportions of different pixels that appear in a given image, and thus may thwart their application in a surgical environment. This article attempts to explain why this occurs with SVD-based enhancement methods, and proposes the separation of spectral enhancement from analysis. The resulting method, termed affinity-based color enhancement, or ACE for short, achieves multi- and hyperspectral image coloring and contrast based on current spectral affinity metrics that can physically relate spectral data to a particular biomarker. This produces tunable, real-time results which are analogous to the current state-of-the-art algorithms, without suffering any of their inherent context-dependent limitations. Two applications of this method are shown as application examples: vein contrast enhancement and high-precision chromophore concentration estimation.

 Autoría: Pardo A., Gutiérrez-Gutiérrez J., López-Higuera J., Conde O.,

 Fuente: Biomedical Optics Express, 2020, 11(1), 133-148

Editorial: The Optical Society

 Fecha de publicación: 01/01/2020

Nº de páginas: 16

Tipo de publicación: Artículo de Revista

DOI: 10.1364/BOE.11.000133

ISSN: 2156-7085

Proyecto español: TEC2016-76021-C2- 2-R

Url de la publicación: https://doi.org/10.1364/BOE.11.000133