Digital image analysis of chronic ulcers tissues

A. F M Hani, L. Arshad, A. S. Malik, Adawiyah Jamil, B. B. Felix Yap

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages635-638
Number of pages4
Volume35 IFMBE
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event5th 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 - Kuala Lumpur
Duration: 20 Jun 201123 Jun 2011

Other

Other5th 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
CityKuala Lumpur
Period20/6/1123/6/11

Fingerprint

Image analysis
Hemoglobin
Tissue
Granulation
Hemoglobins
Pigments
Color
Independent component analysis
Skin
Blood
Imaging techniques

Keywords

  • Granulation Tissue
  • Hemoglobin
  • ICA
  • Ulcers

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Hani, A. F. M., Arshad, L., Malik, A. S., Jamil, A., & Felix Yap, B. B. (2011). Digital image analysis of chronic ulcers tissues. In IFMBE Proceedings (Vol. 35 IFMBE, pp. 635-638) https://doi.org/10.1007/978-3-642-21729-6_156

Digital image analysis of chronic ulcers tissues. / Hani, A. F M; Arshad, L.; Malik, A. S.; Jamil, Adawiyah; Felix Yap, B. B.

IFMBE Proceedings. Vol. 35 IFMBE 2011. p. 635-638.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hani, AFM, Arshad, L, Malik, AS, Jamil, A & Felix Yap, BB 2011, Digital image analysis of chronic ulcers tissues. in IFMBE Proceedings. vol. 35 IFMBE, pp. 635-638, 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, Kuala Lumpur, 20/6/11. https://doi.org/10.1007/978-3-642-21729-6_156
Hani AFM, Arshad L, Malik AS, Jamil A, Felix Yap BB. Digital image analysis of chronic ulcers tissues. In IFMBE Proceedings. Vol. 35 IFMBE. 2011. p. 635-638 https://doi.org/10.1007/978-3-642-21729-6_156
Hani, A. F M ; Arshad, L. ; Malik, A. S. ; Jamil, Adawiyah ; Felix Yap, B. B. / Digital image analysis of chronic ulcers tissues. IFMBE Proceedings. Vol. 35 IFMBE 2011. pp. 635-638
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