eprintid: 2023
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/20/23
datestamp: 2023-11-09 15:50:11
lastmod: 2023-11-09 15:50:11
status_changed: 2023-11-09 15:41:50
type: conference_item
metadata_visibility: show
creators_name: Hani, A.F.M.
creators_name: Arshad, L.
creators_name: Malik, A.S.
creators_name: Jamil, A.
creators_name: Felix Yap, B.B.
title: Digital image analysis of chronic ulcers tissues
ispublished: pub
keywords: Blood capillary; Chronic wounds; Clinical methods; Digital image analysis; Optical characteristics; RGB colours; RGB images; Tissue types; Ulcer healing; Ulcers; Wound assessment, Biomedical engineering; Color; Engineering research; Granulation; Hemoglobin; Histology; Independent component analysis; Medical imaging; Microcirculation; Tissue, Diseases
note: cited By 0; Conference of 5th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2011, Held in Conjunction with the 8th Asian Pacific Conference on Medical and Biological Engineering, APCMBE 2011 ; Conference Date: 20 June 2011 Through 23 June 2011; Conference Code:85436
abstract: Ulcers are chronic wounds that do not heal within a predictable amount of time causing severe pain and discomfort to the patients. Describing the proportion of tissue types is a part of the approved clinical method of wound assessment. Many imaging techniques segment and classify different types of tissues of chronic skin wounds according to the tissue colour. The early visual indication of ulcer healing is the appearance of granulation tissue at the base of ulcers. Granulation tissue appears red in colour due to pigment hemoglobin content in the blood capillaries. The main objective of this research work is to study the optical characteristics of pigment hemoglobin content as a possible image marker in detecting granulation tissue from RGB colour images of chronic ulcers. Independent Component Analysis is employed in the study to convert RGB images of chronic ulcers into images due to pigment hemoglobin only. Preliminary results indicate areas of hemoglobin distribution obtained from hemoglobin images correspond to the presence of granulation tissue on the surface of chronic ulcers. © 2011 Springer-Verlag.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960007338&doi=10.1007%2f978-3-642-21729-6_156&partnerID=40&md5=a681e29eafcfec79e6aa667288063e87
id_number: 10.1007/978-3-642-21729-6₁₅₆
full_text_status: none
publication: IFMBE Proceedings
volume: 35 IFM
place_of_pub: Kuala Lumpur
pagerange: 635-638
refereed: TRUE
isbn: 9783642217289
issn: 16800737
citation:   Hani, A.F.M. and Arshad, L. and Malik, A.S. and Jamil, A. and Felix Yap, B.B.  (2011) Digital image analysis of chronic ulcers tissues.  In: UNSPECIFIED.