Haemoglobin distribution in ulcers for healing assessment

Wounds that do not follow a predictable course of healing within a specified period of time develop into ulcers causing severe pain and discomfort to the patients. One of the most prominent changes during wound healing is the colour of the tissues. Describing the tissues in terms of percentages of e...

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Main Authors: Malik, Aamir Saeed, Fadzil, A. F. M., Arshad, Leena, Jamil, Adawiyah, Yap, Felix
Format: Conference or Workshop Item
Published: 2012
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Online Access:http://eprints.utp.edu.my/8460/1/2012-ICIAS-Leena.pdf
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6306219
http://eprints.utp.edu.my/8460/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.84602017-01-19T08:21:33Z Haemoglobin distribution in ulcers for healing assessment Malik, Aamir Saeed Fadzil, A. F. M. Arshad, Leena Jamil, Adawiyah Yap, Felix R Medicine (General) TK Electrical engineering. Electronics Nuclear engineering Wounds that do not follow a predictable course of healing within a specified period of time develop into ulcers causing severe pain and discomfort to the patients. One of the most prominent changes during wound healing is the colour of the tissues. Describing the tissues in terms of percentages of each tissue colour is an approved clinical method of wound healing assessment. The growth of the red granulation tissue marks the beginning of ulcer healing. Granulation tissue appears red in colour due to haemoglobin content in the blood capillaries. An approach based on utilizing haemoglobin content in chronic ulcers as an image marker to detect the growth of granulation tissue is investigated in this study. Independent Component Analysis is employed to extract grey-level haemoglobin images from RGB colour images of chronic ulcers. Extracted haemoglobin images indicate areas of haemoglobin distribution reflecting detected regions of granulation tissue. Data clustering techniques are implemented to classify and segment detected regions of granulation tissue from the extracted haemoglobin images. Results obtained indicate that the developed algorithm performs fairly well with an average sensitivity of 88.24% and specificity of 98.82% when compared to the dermatologist's assessment. The ultimate aim of this research work is to develop an objective non-invasive wound healing assessment system capable of evaluating the healing status of chronic ulcers in a more precise and reliable way. 2012-06-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/8460/1/2012-ICIAS-Leena.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6306219 Malik, Aamir Saeed and Fadzil, A. F. M. and Arshad, Leena and Jamil, Adawiyah and Yap, Felix (2012) Haemoglobin distribution in ulcers for healing assessment. In: 4th International Conference on Intelligent and Advanced Systems (ICIAS), 2012 , 12-14 June, Kuala Lampur, Malaysia. http://eprints.utp.edu.my/8460/
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 R Medicine (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle R Medicine (General)
TK Electrical engineering. Electronics Nuclear engineering
Malik, Aamir Saeed
Fadzil, A. F. M.
Arshad, Leena
Jamil, Adawiyah
Yap, Felix
Haemoglobin distribution in ulcers for healing assessment
description Wounds that do not follow a predictable course of healing within a specified period of time develop into ulcers causing severe pain and discomfort to the patients. One of the most prominent changes during wound healing is the colour of the tissues. Describing the tissues in terms of percentages of each tissue colour is an approved clinical method of wound healing assessment. The growth of the red granulation tissue marks the beginning of ulcer healing. Granulation tissue appears red in colour due to haemoglobin content in the blood capillaries. An approach based on utilizing haemoglobin content in chronic ulcers as an image marker to detect the growth of granulation tissue is investigated in this study. Independent Component Analysis is employed to extract grey-level haemoglobin images from RGB colour images of chronic ulcers. Extracted haemoglobin images indicate areas of haemoglobin distribution reflecting detected regions of granulation tissue. Data clustering techniques are implemented to classify and segment detected regions of granulation tissue from the extracted haemoglobin images. Results obtained indicate that the developed algorithm performs fairly well with an average sensitivity of 88.24% and specificity of 98.82% when compared to the dermatologist's assessment. The ultimate aim of this research work is to develop an objective non-invasive wound healing assessment system capable of evaluating the healing status of chronic ulcers in a more precise and reliable way.
format Conference or Workshop Item
author Malik, Aamir Saeed
Fadzil, A. F. M.
Arshad, Leena
Jamil, Adawiyah
Yap, Felix
author_facet Malik, Aamir Saeed
Fadzil, A. F. M.
Arshad, Leena
Jamil, Adawiyah
Yap, Felix
author_sort Malik, Aamir Saeed
title Haemoglobin distribution in ulcers for healing assessment
title_short Haemoglobin distribution in ulcers for healing assessment
title_full Haemoglobin distribution in ulcers for healing assessment
title_fullStr Haemoglobin distribution in ulcers for healing assessment
title_full_unstemmed Haemoglobin distribution in ulcers for healing assessment
title_sort haemoglobin distribution in ulcers for healing assessment
publishDate 2012
url http://eprints.utp.edu.my/8460/1/2012-ICIAS-Leena.pdf
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6306219
http://eprints.utp.edu.my/8460/
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