An examination of spectral diversity of medical scenes for hyperspectral projection

David W. Allen, Joseph P. Rice, Eleanor Wehner, Robert McMahon, Edward Livingston, Jonathan White, Rafael Ufret-Vincenty, Karel J. Zuzak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationEmerging Digital Micromirror Device Based Systems and Applications III
DOIs
StatePublished - 2011
EventEmerging Digital Micromirror Device Based Systems and Applications III - San Francisco, CA, United States
Duration: Jan 26 2011Jan 26 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7932
ISSN (Print)0277-786X

Other

OtherEmerging Digital Micromirror Device Based Systems and Applications III
Country/TerritoryUnited States
CitySan Francisco, CA
Period1/26/111/26/11

Keywords

  • DLP
  • DMD
  • Hyperspectral Image Projector
  • Hyperspectral imaging
  • Spectral projection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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