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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73696/1/Quantitative%20assessment%20of%20wound%20healing%20using%20high-frequency%20ultrasound%20image%20analysis.pdf |
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| author | Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, S. Syed Waseem Ahmad, Sharifah Roohi Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Lekhraj Rampal, Sanjiv Rampal |
| author_facet | Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, S. Syed Waseem Ahmad, Sharifah Roohi Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Lekhraj Rampal, Sanjiv Rampal |
| author_sort | Mohafez, Hamidreza |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:11:31Z |
| format | Article |
| id | upm.eprints-73696 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:11:31Z |
| publishDate | 2018 |
| publisher | Wiley |
| record_format | dspace |
| spelling | upm.eprints-736962020-05-09T20:41:24Z http://psasir.upm.edu.my/id/eprint/73696/ Quantitative assessment of wound healing using high-frequency ultrasound image analysis Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, S. Syed Waseem Ahmad, Sharifah Roohi Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Lekhraj Rampal, Sanjiv Rampal 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 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73696/1/Quantitative%20assessment%20of%20wound%20healing%20using%20high-frequency%20ultrasound%20image%20analysis.pdf Mohafez, Hamidreza and Ahmad, Siti Anom and Hadizadeh, Maryam and Moghimi, S. and Syed Waseem Ahmad, Sharifah Roohi and Marhaban, Mohammad Hamiruce and Saripan, M. Iqbal and Lekhraj Rampal, Sanjiv Rampal (2018) Quantitative assessment of wound healing using high-frequency ultrasound image analysis. Skin Research and Technology, 24 (1). 45 - 53. ISSN 0909-752X; ESSN: 1600-0846 https://onlinelibrary.wiley.com/doi/abs/10.1111/srt.12388 10.1111/srt.12388 |
| spellingShingle | Mohafez, Hamidreza Ahmad, Siti Anom Hadizadeh, Maryam Moghimi, S. Syed Waseem Ahmad, Sharifah Roohi Marhaban, Mohammad Hamiruce Saripan, M. Iqbal Lekhraj Rampal, Sanjiv Rampal Quantitative assessment of wound healing using high-frequency ultrasound image analysis |
| title | 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_short | Quantitative assessment of wound healing using high-frequency ultrasound image analysis |
| title_sort | quantitative assessment of wound healing using high frequency ultrasound image analysis |
| url | http://psasir.upm.edu.my/id/eprint/73696/1/Quantitative%20assessment%20of%20wound%20healing%20using%20high-frequency%20ultrasound%20image%20analysis.pdf |
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