Paper
13 March 2013 Colour and multispectral imaging for wound healing evaluation in the context of a comparative preclinical study
Dorra Nouri, Yves Lucas, Sylvie Treuillet, R. Jolivot, F. Marzani
Author Affiliations +
Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 866923 (2013) https://doi.org/10.1117/12.2003943
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Accurate wound assessment is a critical task for patient care and health cost reduction at hospital but even still worse in the context of clinical studies in laboratory. This task, completely devoted to nurses, still relies on manual and tedious practices. Wound shape is measured with rules, tracing papers or rarely with alginate castings and serum injection. The wound tissues proportion is also estimated by a qualitative visual assessment based on the red-yellow-black code. Further to our preceding works on wound 3D complete assessment using a simple freehanded digital camera, we explore here the adaptation of this tool to wounds artificially created for experimentation purposes. It results that tissue uniformity and flatness leads to a simplified approach but requires multispectral imaging for enhanced wound delineation. We demonstrate that, in this context, a simple active contour method can successfully replace more complex tools such as SVM supervised classification, as no training step is required and that one shot is enough to deal with perspective projection errors. Moreover, involving all the spectral response of the tissue and not only RGB components provides a higher discrimination for separating healed epithelial tissue from granulation tissue. This research work is part of a comparative preclinical study on healing wounds. It aims to compare the efficiency of specific medical honeys with classical pharmaceuticals for wound care. Results revealed that medical honey competes with more expensive pharmaceuticals.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dorra Nouri, Yves Lucas, Sylvie Treuillet, R. Jolivot, and F. Marzani "Colour and multispectral imaging for wound healing evaluation in the context of a comparative preclinical study", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866923 (13 March 2013); https://doi.org/10.1117/12.2003943
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CITATIONS
Cited by 13 scholarly publications and 5 patents.
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KEYWORDS
Wound healing

Multispectral imaging

Tissues

Image processing

Image segmentation

RGB color model

Reflectivity

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