Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers
Name
fbinf-4-1450146.pdf
Description
Published version
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38.77 MB
Format
Adobe PDF
Checksum (MD5)
0e6940022ce2995cef27685eed592b0f
Author(s)
Ong, Charlene ZL
Nasir, N Jannah M
Welsch, Roy E
Tucker-Kellogg, Lisa
Rajapakse, Jagath C
Date Issued
October 21, 2024
Journal
Frontiers in Bioinformatics
Publisher
Frontiers Media SA
Citation
Ong CZL, Nasir NJM, Welsch RE, Tucker-Kellogg L and Rajapakse JC (2024) Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. Front. Bioinform. 4:1450146.
Version
Final published version
Abstract
Background: Microscopy 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. Results: From 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. Conclusion: Our 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.
MIT Department
Sloan School of Management
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3389/fbinf.2024.1450146
