Reply to “Comments on Geometric Deconvolution: A Meta-Algorithm for Limited View Computed Tomography”

Richard Gordon, Atam P. Dhawan, Rangaraj M. Rangayyan

Research output: Contribution to journalComment/debatepeer-review

7 Scopus citations

Abstract

We have developed two new “meta-algorithms” for computed tomography that give significantly improved images through deconvolution of the two-dimensional point spread function of standard, quasi-linear algorithms. In geometric deconvolution the projections of the point spread function provide the basis for a set of one-dimensional deconvolutions. In two-dimensional Wiener deconvolution, the twodimensional point spread function is deconvoluted directly. The criticism that there is no data available for these deconvolutions is met here by showing that the “missing data” is partly provided by incorporation of a priori information, as is the practice in other superresolution work.

Original languageEnglish (US)
Pages (from-to)242-244
Number of pages3
JournalIEEE Transactions on Biomedical Engineering
VolumeBME-32
Issue number3
DOIs
StatePublished - Mar 1985
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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