High-contrast subcutaneous vein detection and localization using multispectral imaging

Fengtao Wang; Ali Behrooz; Michael Morris

doi:10.1117/1.JBO.18.5.050504

6 May 2013 High-contrast subcutaneous vein detection and localization using multispectral imaging

Fengtao Wang, Ali Behrooz, Michael Morris

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Journal of Biomedical Optics, Vol. 18, Issue 5, 050504 (May 2013). https://doi.org/10.1117/1.JBO.18.5.050504

Abstract

Multispectral imaging has shown promise in subcutaneous vein detection and localization in human subjects. While many limitations of single-wavelength methods are addressed in multispectral vein detection methods, their performance is still limited by artifacts arising from background skin reflectance and optimality of postprocessing algorithms. We propose a background removal technique that enhances the contrast and performance of multispectral vein detection. We use images acquired at visible wavelengths as reference for removing skin reflectance background from subcutaneous structures in near-infrared images. Results are validated by experiments on human subjects.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Fengtao Wang, Ali Behrooz, and Michael Morris "High-contrast subcutaneous vein detection and localization using multispectral imaging," Journal of Biomedical Optics 18(5), 050504 (6 May 2013). https://doi.org/10.1117/1.JBO.18.5.050504

Published: 6 May 2013

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