Staff View: Quantitative assessment of wound healing using high-frequency ultrasound image analysis

Quantitative assessment of wound healing using high-frequency ultrasound image analysis

Purpose: We aimed to develop a method for quantitative assessment of wound healing in ulcerated diabetic feet. Methods: High-frequency ultrasound (HFU) images of 30 wounds were acquired in a controlled environment on post-debridement days 7, 14, 21, and 28. Meaningful features portraying changes in...

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Main Authors:	Mohafez, Hamidreza, Ahmad, Siti Anom, Hadizadeh, Maryam, Moghimi, Sanar, Roohi, Sharifah Ahmad, Marhaban, Mohammad Hamiruce, Saripan, M. Iqbal, Rampal, Sanjiv
Format:	Article
Published:	Wiley 2017
Subjects:	R Medicine TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/21273/ https://doi.org/10.1111/srt.12388
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spelling	my.um.eprints.212732019-05-21T07:00:51Z http://eprints.um.edu.my/21273/ Quantitative assessment of wound healing using high-frequency ultrasound image analysis Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, Sanar Roohi, Sharifah Ahmad Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Rampal, Sanjiv R Medicine TK Electrical engineering. Electronics Nuclear engineering Purpose: We aimed to develop a method for quantitative assessment of wound healing in ulcerated diabetic feet. Methods: High-frequency ultrasound (HFU) images of 30 wounds were acquired in a controlled environment on post-debridement days 7, 14, 21, and 28. Meaningful features portraying changes in structure and intensity of echoes during healing were extracted from the images, their relevance and discriminatory power being verified by analysis of variance. Relative analysis of tissue healing was conducted by developing a features-based healing function, optimised using the pattern-search method. Its performance was investigated through leave-one-out cross-validation technique and reconfirmed using principal component analysis. Results: The constructed healing function could depict tissue changes during healing with 87.8% accuracy. The first principal component derived from the extracted features demonstrated similar pattern to the constructed healing function, accounting for 86.3% of the data variance. Conclusion: The developed wound analysis technique could be a viable tool in quantitative assessment of diabetic foot ulcers during healing. Wiley 2017 Article PeerReviewed Mohafez, Hamidreza and Ahmad, Siti Anom and Hadizadeh, Maryam and Moghimi, Sanar and Roohi, Sharifah Ahmad and Marhaban, Mohammad Hamiruce and Saripan, M. Iqbal and Rampal, Sanjiv (2017) Quantitative assessment of wound healing using high-frequency ultrasound image analysis. Skin Research and Technology, 24 (1). pp. 45-53. ISSN 0909-752X https://doi.org/10.1111/srt.12388 doi:10.1111/srt.12388
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	R Medicine TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	R Medicine TK Electrical engineering. Electronics Nuclear engineering Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, Sanar Roohi, Sharifah Ahmad Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Rampal, Sanjiv Quantitative assessment of wound healing using high-frequency ultrasound image analysis
description	Purpose: We aimed to develop a method for quantitative assessment of wound healing in ulcerated diabetic feet. Methods: High-frequency ultrasound (HFU) images of 30 wounds were acquired in a controlled environment on post-debridement days 7, 14, 21, and 28. Meaningful features portraying changes in structure and intensity of echoes during healing were extracted from the images, their relevance and discriminatory power being verified by analysis of variance. Relative analysis of tissue healing was conducted by developing a features-based healing function, optimised using the pattern-search method. Its performance was investigated through leave-one-out cross-validation technique and reconfirmed using principal component analysis. Results: The constructed healing function could depict tissue changes during healing with 87.8% accuracy. The first principal component derived from the extracted features demonstrated similar pattern to the constructed healing function, accounting for 86.3% of the data variance. Conclusion: The developed wound analysis technique could be a viable tool in quantitative assessment of diabetic foot ulcers during healing.
format	Article
author	Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, Sanar Roohi, Sharifah Ahmad Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Rampal, Sanjiv
author_facet	Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, Sanar Roohi, Sharifah Ahmad Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Rampal, Sanjiv
author_sort	Mohafez, Hamidreza
title	Quantitative assessment of wound healing using high-frequency ultrasound image analysis
title_short	Quantitative assessment of wound healing using high-frequency ultrasound image analysis
title_full	Quantitative assessment of wound healing using high-frequency ultrasound image analysis
title_fullStr	Quantitative assessment of wound healing using high-frequency ultrasound image analysis
title_full_unstemmed	Quantitative assessment of wound healing using high-frequency ultrasound image analysis
title_sort	quantitative assessment of wound healing using high-frequency ultrasound image analysis
publisher	Wiley
publishDate	2017
url	http://eprints.um.edu.my/21273/ https://doi.org/10.1111/srt.12388
_version_	1643691516644818944
score	13.211869

Quantitative assessment of wound healing using high-frequency ultrasound image analysis

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