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Multispectral venous images analysis for optimum illumination selection

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.

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Official URL: http://hal.archives-ouvertes.fr/docs/00/86/05/35/P...

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Mission Oriented Research > Health
ID Code:10839
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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