Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics

Background Subcutaneous veins localization is usually performed manually by medical staff to find suitable vein to insert catheter for medication delivery or blood sample function. The rule of thumb is to find large and straight enough vein for the medication to flow inside of the selected blood v...

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Main Authors: Shahzad, Aamir, Saad, N.M., Nicolas, Walter, Malik, Aamir Saeed, Meriaudeau, Fabrice
Format: Citation Index Journal
Published: 2014
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Online Access:http://eprints.utp.edu.my/11376/1/BIOMEDICAL%20ENGINEERING%20ONLINE%20-%20Hyperspectral%20venous%20image%20quality%20assessment%20for%20optimum%20illumination%20range%20selection%20based%20on%20skin%20tone%20characteristics%20-%20Paper.pdf
http://eprints.utp.edu.my/11376/
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spelling my.utp.eprints.113762015-04-28T02:54:07Z Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics Shahzad, Aamir Saad, N.M. Nicolas, Walter Malik, Aamir Saeed Meriaudeau, Fabrice Q Science (General) T Technology (General) Background Subcutaneous veins localization is usually performed manually by medical staff to find suitable vein to insert catheter for medication delivery or blood sample function. The rule of thumb is to find large and straight enough vein for the medication to flow inside of the selected blood vessel without any obstruction. The problem of peripheral difficult venous access arises when patient’s veins are not visible due to any reason like dark skin tone, presence of hair, high body fat or dehydrated condition, etc. Methods To enhance the visibility of veins, near infrared imaging systems is used to assist medical staff in veins localization process. Optimum illumination is crucial to obtain a better image contrast and quality, taking into consideration the limited power and space on portable imaging systems. In this work a hyperspectral image quality assessment is done to get the optimum range of illumination for venous imaging system. A database of hyperspectral images from 80 subjects has been created and subjects were divided in to four different classes on the basis of their skin tone. In this paper the results of hyper spectral image analyses are presented in function of the skin tone of patients. For each patient, four mean images were constructed by taking mean with a spectral span of 50 nm within near infrared range, i.e. 750–950 nm. Statistical quality measures were used to analyse these images. Conclusion It is concluded that the wavelength range of 800 to 850 nm serve as the optimum illumination range to get best near infrared venous image quality for each type of skin tone. 2014-08-03 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/11376/1/BIOMEDICAL%20ENGINEERING%20ONLINE%20-%20Hyperspectral%20venous%20image%20quality%20assessment%20for%20optimum%20illumination%20range%20selection%20based%20on%20skin%20tone%20characteristics%20-%20Paper.pdf Shahzad, Aamir and Saad, N.M. and Nicolas, Walter and Malik, Aamir Saeed and Meriaudeau, Fabrice (2014) Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics. [Citation Index Journal] http://eprints.utp.edu.my/11376/
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)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Shahzad, Aamir
Saad, N.M.
Nicolas, Walter
Malik, Aamir Saeed
Meriaudeau, Fabrice
Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
description Background Subcutaneous veins localization is usually performed manually by medical staff to find suitable vein to insert catheter for medication delivery or blood sample function. The rule of thumb is to find large and straight enough vein for the medication to flow inside of the selected blood vessel without any obstruction. The problem of peripheral difficult venous access arises when patient’s veins are not visible due to any reason like dark skin tone, presence of hair, high body fat or dehydrated condition, etc. Methods To enhance the visibility of veins, near infrared imaging systems is used to assist medical staff in veins localization process. Optimum illumination is crucial to obtain a better image contrast and quality, taking into consideration the limited power and space on portable imaging systems. In this work a hyperspectral image quality assessment is done to get the optimum range of illumination for venous imaging system. A database of hyperspectral images from 80 subjects has been created and subjects were divided in to four different classes on the basis of their skin tone. In this paper the results of hyper spectral image analyses are presented in function of the skin tone of patients. For each patient, four mean images were constructed by taking mean with a spectral span of 50 nm within near infrared range, i.e. 750–950 nm. Statistical quality measures were used to analyse these images. Conclusion It is concluded that the wavelength range of 800 to 850 nm serve as the optimum illumination range to get best near infrared venous image quality for each type of skin tone.
format Citation Index Journal
author Shahzad, Aamir
Saad, N.M.
Nicolas, Walter
Malik, Aamir Saeed
Meriaudeau, Fabrice
author_facet Shahzad, Aamir
Saad, N.M.
Nicolas, Walter
Malik, Aamir Saeed
Meriaudeau, Fabrice
author_sort Shahzad, Aamir
title Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
title_short Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
title_full Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
title_fullStr Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
title_full_unstemmed Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
title_sort hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
publishDate 2014
url http://eprints.utp.edu.my/11376/1/BIOMEDICAL%20ENGINEERING%20ONLINE%20-%20Hyperspectral%20venous%20image%20quality%20assessment%20for%20optimum%20illumination%20range%20selection%20based%20on%20skin%20tone%20characteristics%20-%20Paper.pdf
http://eprints.utp.edu.my/11376/
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score 13.211869