Parallel image restoration with spatially variant point spread function: description and first clinical results

Andrew Shearer; Gerard Gorman; Triona O'Doherty; Wilhelm J.M. van der Putten; Peter McCarthy; Lukasz Jelen

doi:10.1117/12.431157

3 July 2001 Parallel image restoration with spatially variant point spread function: description and first clinical results

Andrew Shearer, Gerard Gorman, Triona O'Doherty, Wilhelm J.M. van der Putten, Peter McCarthy, Lukasz Jelen

Author Affiliations +

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431157
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

In this paper we present a parallel code which performs in 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 is described as well as a description of the parallel implementation. Applications and results in the area of medical x-ray imaging is discussed.

Citation Download Citation

Andrew Shearer, Gerard Gorman, Triona O'Doherty, Wilhelm J.M. van der Putten, Peter McCarthy, and Lukasz Jelen "Parallel image restoration with spatially variant point spread function: description and first clinical results", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431157

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