Optimal reconstruction kernels in medical imaging

Alfred K. Louis ()
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Alfred K. Louis: Saarland University

A chapter in Optimization in Medicine, 2008, pp 153-168 from Springer

Abstract: Summary In this paper we present techniques for deriving inversion algorithms in medical imaging. To this end we present a few imaging technologies and their mathematical models. They essentially consist of integral operators. The reconstruction is then recognized as the solution of an inverse problem. General strategies, the socalled approximate inverse, for deriving a solution are adapted. Results from real data are presented.

Keywords: 3D-Tomography; optimal algorithms (accuracy; efficiency; noise reduction); error bounds for influence of data noise; approximate inverse (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-73299-2_7

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DOI: 10.1007/978-0-387-73299-2_7

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