An examination of spectral diversity of medical scenes for hyperspectral projection

Published

February 14, 2011

Author(s)

David Allen

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.

Proceedings Title

Emerging Digital Micromirror Device Based Systems and Applications III

Volume

7932

Conference Dates

January 22-27, 2011

Conference Location

San Francisco, CA, US

Conference Title

SPIE Photonics West 2011 MOEMS-MEMS

Pub Type

Conferences

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DOI Link

Keywords

Hyperspectral Imaging, DLP, DMD, Spectral Projection, Hyperspectral Image Projector

Citation

Allen, D. (2011), An examination of spectral diversity of medical scenes for hyperspectral projection, Emerging Digital Micromirror Device Based Systems and Applications III, San Francisco, CA, US, [online], https://doi.org/10.1117/12.877188 (Accessed May 18, 2026)

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