Parallel image restoration with spatially variant point-spread-function-Description and first clinical results

A. Shearer, G. Gorman, T. O'Doherty, W. Van der Putten, P. McCarthy, L. Jelen

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

5 Citations (Scopus)

Abstract

In this paper we present a parallel code which performs an iterative image deconvolution using either a spatially-invariant point spread function (SI-PSF) or a spatially-variant point spread function (SV-PSF). The basic algorithm (Richardson-Lucy Maximum-Likelihood iterative procedure) is described as well as a description of the parallel implementation. Applications and results in the area of medical x-ray imaging is discussed.

Original languageEnglish
Pages (from-to)787-795
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4322
Issue number2
DOIs
Publication statusPublished - 2001

Keywords

  • Computed radiography
  • Deconvolution
  • Spatially variant PSF
  • Wavelet denoising

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