Paper
28 February 2012 Multispectral imaging approach for simplified non-invasive in-vivo evaluation of gingival erythema
Timo Eckhard, Eva M. Valero, Juan L. Nieves, José M. Gallegos-Rueda, Francisco Mesa
Author Affiliations +
Abstract
Erythema is a common visual sign of gingivitis. In this work, a new and simple low-cost image capture and analysis method for erythema assessment is proposed. The method is based on digital still images of gingivae and applied on a pixel-by-pixel basis. Multispectral images are acquired with a conventional digital camera and multiplexed LED illumination panels at 460nm and 630nm peak wavelength. An automatic work-flow segments teeth from gingiva regions in the images and creates a map of local blood oxygenation levels, which relates to the presence of erythema. The map is computed from the ratio of the two spectral images. An advantage of the proposed approach is that the whole process is easy to manage by dental health care professionals in clinical environment.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timo Eckhard, Eva M. Valero, Juan L. Nieves, José M. Gallegos-Rueda, and Francisco Mesa "Multispectral imaging approach for simplified non-invasive in-vivo evaluation of gingival erythema", Proc. SPIE 8215, Design and Quality for Biomedical Technologies V, 82150O (28 February 2012); https://doi.org/10.1117/12.907408
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KEYWORDS
Image segmentation

Teeth

Light emitting diodes

Image processing

Image analysis

Visualization

Inflammation

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