Academic Journal
Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers
العنوان: | Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers |
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المؤلفون: | Charlene Z. L. Ong, N. Jannah M. Nasir, Roy E. Welsch, Lisa Tucker-Kellogg, Jagath C. Rajapakse |
المصدر: | Frontiers in Bioinformatics, Vol 4 (2024) |
بيانات النشر: | Frontiers Media S.A., 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Computer applications to medicine. Medical informatics |
مصطلحات موضوعية: | edge detection, deep learning, imaging biomarkers, tissue morphology, muscle fibers, pressure injuries, Computer applications to medicine. Medical informatics, R858-859.7 |
الوصف: | BackgroundMicroscopy of regenerated tissue shows different morphologies between the healing of acute wounds and chronic wounds. This difference can be seen manually by biologists, but computational methods are needed to automate the characterization of morphology and regenerative quality in regenerated muscle tissue.ResultsFrom the detected edge segments, we computed several imaging biomarkers of interest, such as median tortuosity, number of edge segments normalized by area, median edge segment distance and interquartile range of orientation angles of edge segments of the microscope images of successful and unsuccessful muscle regeneration. We observed that muscle fibers in saline-treated pressure ulcers had a larger interquartile range of orientation angles of the edge segments (p = 0.05) and shorter edge segment distances (p = 0.003) compared to those of acute cardiotoxin injuries.ConclusionOur edge detection method was able to identify statistically significant differences in some of the imaging biomarkers between saline-treated pressure ulcers and cardiotoxin injuries, suggesting that chronic pressure ulcers have increased muscle fiber malformations compared to cardiotoxin injuries. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2673-7647 49728016 |
Relation: | https://www.frontiersin.org/articles/10.3389/fbinf.2024.1450146/full; https://doaj.org/toc/2673-7647 |
DOI: | 10.3389/fbinf.2024.1450146 |
URL الوصول: | https://doaj.org/article/bf7b1daaa11a49728016e76cd39277a9 |
رقم الانضمام: | edsdoj.bf7b1daaa11a49728016e76cd39277a9 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 26737647 49728016 |
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DOI: | 10.3389/fbinf.2024.1450146 |