Spectral analysis using regularized non-negative least-squares estimation

P. Chiao, J. A. Fessler, K. R. Zasadny, R. L. Wahl

Research output: Contribution to conferencePaperpeer-review

Abstract

The implementation of spectral analysis techniques involves solving a highly underdetermined linear system equation and is prone to the effect of measurement noise. We propose to use a regularized non-negative least-square estimator to stabilize the implementation of the technique. We introduce a penalty term in our formulation of the objective function to discourage disparities in tracer kinetics between neighboring pixels and use an iterative method to impose positivity constraints. We show results from analysis of FDG thorax images of patients suspected to have cancers and summarize our findings.

Original languageEnglish (US)
Pages1680-1683
Number of pages4
StatePublished - 1995
EventProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3) - San Francisco, CA, USA
Duration: Oct 21 1995Oct 28 1995

Other

OtherProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3)
CitySan Francisco, CA, USA
Period10/21/9510/28/95

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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