eprintid: 3854
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/54
datestamp: 2023-11-09 15:52:07
lastmod: 2023-11-09 15:52:07
status_changed: 2023-11-09 15:47:46
type: conference_item
metadata_visibility: show
creators_name: Shahzad, A.
creators_name: Walter, N.
creators_name: Malik, A.S.
creators_name: Saad, N.M.
creators_name: Meriaudeau, F.
title: Multispectral venous images analysis for optimum illumination selection
ispublished: pub
keywords: Diagnosis; Infrared devices, Absorption co-efficient; Illuminants Subcutaneous; IV Catheterization; Medical practice; Near-infrared imaging; NIR Imaging; Physiological characteristics; Wavelength ranges, Image processing
note: cited By 8; Conference of 2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference Date: 15 September 2013 Through 18 September 2013; Conference Code:115163
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. © 2013 IEEE.
date: 2013
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897810799&doi=10.1109%2fICIP.2013.6738491&partnerID=40&md5=135c34c56fb3ec4b75457b11c82dd8d8
id_number: 10.1109/ICIP.2013.6738491
full_text_status: none
publication: 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
place_of_pub: Melbourne, VIC
pagerange: 2383-2387
refereed: TRUE
isbn: 9781479923410
citation:   Shahzad, A. and Walter, N. and Malik, A.S. and Saad, N.M. and Meriaudeau, F.  (2013) Multispectral venous images analysis for optimum illumination selection.  In: UNSPECIFIED.