Staff View: Multispectral venous images analysis for optimum illumination selection

Multispectral venous images analysis for optimum illumination selection

Intravenous (IV) catheterization is the most important phase in medical practices of daily life. It is hard to localize veins in patients who have deep veins, minor age or dark skin; hence multiple attempts become indispensable for proper catheterization in such cases. Near Infrared (NIR) Imaging al...

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Main Authors:	Shahzad, Aamir, Nicolas, Walter, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Meriaudeau, Fabrice
Format:	Conference or Workshop Item
Published:	2013
Subjects:	Q Science (General) R Medicine (General) T Technology (General)
Online Access:	http://eprints.utp.edu.my/10839/1/ICIP-13-multi_spectral.pdf http://hal.archives-ouvertes.fr/docs/00/86/05/35/PDF/ICIP-13-multi_spectral.pdf http://eprints.utp.edu.my/10839/
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spelling	my.utp.eprints.108392013-12-16T23:48:02Z Multispectral venous images analysis for optimum illumination selection Shahzad, Aamir Nicolas, Walter Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Meriaudeau, Fabrice Q Science (General) R Medicine (General) T Technology (General) Intravenous (IV) catheterization is the most important phase in medical practices of daily life. It is hard to localize veins in patients who have deep veins, minor age or dark skin; hence multiple attempts become indispensable for proper catheterization in such cases. Near Infrared (NIR) Imaging allow to visualize the veins underneath the skin of persons having non-visibility of veins problem. This paper reports the pre-selection of illuminants that ensure best veins/tissues contrast for patients having different skin tone. The sample subjects have been divided in four different classes based on the Luminance value of their skin tone in order to extract the best illuminant wavelengths range for each class. A multispectral approach has been used which provides the flexibility of wavelength range from visible to NIR (380 to 1040nm). The veins/tissue reflectance contrast obtained helps in determining the best wavelengths range where the contrast is maximum for each of the four classes. Using these results, we are planning to build a prototype system which can automatically select the illuminants based on different physiological characteristics of a subject. 2013-09-10 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/10839/1/ICIP-13-multi_spectral.pdf http://hal.archives-ouvertes.fr/docs/00/86/05/35/PDF/ICIP-13-multi_spectral.pdf Shahzad, Aamir and Nicolas, Walter and Malik, Aamir Saeed and Mohamad Saad, Mohamad Naufal and Meriaudeau, Fabrice (2013) Multispectral venous images analysis for optimum illumination selection. In: 2014 IEEE International Conference on Image Processing (ICIP), September 15 - 18, 2013, Melbourne, Australia. http://eprints.utp.edu.my/10839/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
topic	Q Science (General) R Medicine (General) T Technology (General)
spellingShingle	Q Science (General) R Medicine (General) T Technology (General) Shahzad, Aamir Nicolas, Walter Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Meriaudeau, Fabrice Multispectral venous images analysis for optimum illumination selection
description	Intravenous (IV) catheterization is the most important phase in medical practices of daily life. It is hard to localize veins in patients who have deep veins, minor age or dark skin; hence multiple attempts become indispensable for proper catheterization in such cases. Near Infrared (NIR) Imaging allow to visualize the veins underneath the skin of persons having non-visibility of veins problem. This paper reports the pre-selection of illuminants that ensure best veins/tissues contrast for patients having different skin tone. The sample subjects have been divided in four different classes based on the Luminance value of their skin tone in order to extract the best illuminant wavelengths range for each class. A multispectral approach has been used which provides the flexibility of wavelength range from visible to NIR (380 to 1040nm). The veins/tissue reflectance contrast obtained helps in determining the best wavelengths range where the contrast is maximum for each of the four classes. Using these results, we are planning to build a prototype system which can automatically select the illuminants based on different physiological characteristics of a subject.
format	Conference or Workshop Item
author	Shahzad, Aamir Nicolas, Walter Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Meriaudeau, Fabrice
author_facet	Shahzad, Aamir Nicolas, Walter Malik, Aamir Saeed Mohamad Saad, Mohamad Naufal Meriaudeau, Fabrice
author_sort	Shahzad, Aamir
title	Multispectral venous images analysis for optimum illumination selection
title_short	Multispectral venous images analysis for optimum illumination selection
title_full	Multispectral venous images analysis for optimum illumination selection
title_fullStr	Multispectral venous images analysis for optimum illumination selection
title_full_unstemmed	Multispectral venous images analysis for optimum illumination selection
title_sort	multispectral venous images analysis for optimum illumination selection
publishDate	2013
url	http://eprints.utp.edu.my/10839/1/ICIP-13-multi_spectral.pdf http://hal.archives-ouvertes.fr/docs/00/86/05/35/PDF/ICIP-13-multi_spectral.pdf http://eprints.utp.edu.my/10839/
_version_	1738655901659693056
score	13.211869

Multispectral venous images analysis for optimum illumination selection

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