Journal article
Image analysis of chronic wounds for determining the surface area
Wound repair and regeneration, v 18(4), pp 349-358
01 Jul 2010
PMID: 20492631
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Progress in wound healing is primarily quantified by the rate of change of the wound's surface area. The most recent guidelines of the Wound Healing Society suggest that a reduction in wound size of < 40% within 4 weeks necessitates a reevaluation of the treatment. However, accurate measurement of wound size is challenging due to the complexity of a chronic wound, the variable lighting conditions of examination rooms, and the time constraints of a busy clinical practice. In this paper, we present our methodology to quantify a wound boundary and measure the enclosed wound area reproducibly. The method derives from a combination of color-based image analysis algorithms, and our results are validated with wounds in animal models and human wounds of diverse patients. Images were taken by an inexpensive digital camera under variable lighting conditions. Approximately 100 patient images and 50 animal images were analyzed and a high overlap was achieved between the manual tracings and the calculated wound area by our method in both groups. The simplicity of our method combined with its robustness suggests that it can be a valuable tool in clinical wound evaluations. The basic challenge of our method is in deep wounds with very small surface areas where color-based detection can lead to erroneous results and which could be overcome by texture-based detection methods. The authors are willing to provide the developed MATLAB code for the work discussed in this paper.
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Details
- Title
- Image analysis of chronic wounds for determining the surface area
- Creators
- Elisabeth S. Papazoglou - Drexel UniversityLeonid Zubkov - Drexel UniversityXiang Mao - Drexel UniversityMichael Neidrauer - Drexel UniversityNicolas Rannou - Institut Supérieur de l'Électronique et du NumériqueMichael S. Weingarten - Drexel University
- Publication Details
- Wound repair and regeneration, v 18(4), pp 349-358
- Publisher
- Wiley
- Number of pages
- 10
- Grant note
- Coulter Foundation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- MD (Doctor of Medicine) Program; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000279454700075
- Scopus ID
- 2-s2.0-77956799662
- Other Identifier
- 991019168901704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Cell Biology
- Dermatology
- Medicine, Research & Experimental
- Surgery