15 February 2011 An examination of spectral diversity of medical scenes for hyperspectral projection
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Proceedings Volume 7932, Emerging Digital Micromirror Device Based Systems and Applications III; 793205 (2011); doi: 10.1117/12.877188
Event: SPIE MOEMS-MEMS, 2011, San Francisco, California, United States
Abstract
There are numerous medical conditions which may benefit from hyperspectral imaging. The imagers used for these conditions will need to have the performance validated to ensure consistency, gain acceptance and clear regulatory hurdles. NIST has been developing a Digital Light Processing (DLP)-based Hyperspectral Image Projector (HIP) for providing scenes with full spectral content in order to evaluate multispectral and hyperspectral imagers. In order for the scene to be projected, a dimensionality reduction is performed in order to project spectra efficiently. The number of eigenspectra needed to best represent a scene is an important part in the recombining of the image. This paper studies the spectral diversity between different medical scenes collected by a DLP based hyperspectral imager. Knowledge gained from this study will help guide the methods used for hyperspectral image projection of medical scenes in the future.
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David W. Allen, Joseph P. Rice, Eleanor Wehner, Robert McMahon, Edward Livingston, Jonathan White, Rafael Ufret-Vincenty, Karel J. Zuzak, "An examination of spectral diversity of medical scenes for hyperspectral projection", Proc. SPIE 7932, Emerging Digital Micromirror Device Based Systems and Applications III, 793205 (15 February 2011); doi: 10.1117/12.877188; http://dx.doi.org/10.1117/12.877188
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KEYWORDS
Hyperspectral imaging

Imaging systems

Digital Light Processing

Digital micromirror devices

Projection systems

Tissues

Cameras

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