Reply to comments on geometric deconvolution: a meta-algorithm for limited view computed tomography

Journal Article · Fri Mar 01 04:00:00 EST 1985 · IEEE Trans. Bio-Med. Eng.; (United States)

DOI:https://doi.org/10.1109/TBME.1985.325536· OSTI ID:5277364

Gordan, R; Dhawan, A P; Rangayyan, R M

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 have been developed. 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 two-dimensional point spread function is deconvoluted directly. The criticism that there is not 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.

• Research Organization: Univ. of Manitoba, Winnipeg
• OSTI ID: 5277364
• Journal Information: IEEE Trans. Bio-Med. Eng.; (United States), Journal Name: IEEE Trans. Bio-Med. Eng.; (United States) Vol. BME-32:3; ISSN IEBEA
• Country of Publication: United States
• Language: English

Related Subjects

550602* -- Medicine-- External Radiation in Diagnostics-- (1980-)
62 RADIOLOGY AND NUCLEAR MEDICINE
ALGORITHMS
ANISOTROPY
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
DIAGNOSTIC USES
GEOMETRY
IMAGES
MATHEMATICAL LOGIC
MATHEMATICS
TOMOGRAPHY
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