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Titolo:
Penalised least squares image reconstruction from backprojection space for3D PET
Autore:
Reader, AJ;
Indirizzi:
Univ Manchester, Inst Sci & Technol, Dept Instrumentat & Analyt Sci, Manchester M60 1QD, Lancs, England Univ Manchester Manchester Lancs England M601QD M60 1QD, Lancs, England
Titolo Testata:
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
fascicolo: 3, volume: 47, anno: 2000,
parte:, 3
pagine: 1072 - 1079
SICI:
0018-9499(200006)47:3<1072:PLSIRF>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
ITERATIVE RECONSTRUCTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
11
Recensione:
Indirizzi per estratti:
Indirizzo: Reader, AJ Univ Manchester, Inst Sci & Technol, Dept Instrumentat & AnalytSci, Faraday Bldg,Sackville St,POB 88, Manchester M60 1QD, Lancs, England Univ Manchester Faraday Bldg,Sackville St,POB 88 Manchester Lancs England M60 1QD
Citazione:
A.J. Reader, "Penalised least squares image reconstruction from backprojection space for3D PET", IEEE NUCL S, 47(3), 2000, pp. 1072-1079

Abstract

Image reconstruction directly from backprojected images has two advantagesover projection-data based reconstruction for 3D PET: i) 3D backprojected images offer data compression compared to large 4D projection data sets andii) full spatial sampling accuracy of the scanner is retained (unlike withprojection-data mashing). This second advantage can be useful for scannerswith large numbers of possible lines of response (LORs), as a backprojected image preserves the positional accuracy of the LORs (which can otherwise be compromised by binning into projections). This work presents an algorithm for penalised least squares (PLS) reconstruction directly from 3D backprojected images. All the data can be used, and the shift-variant 3D point response function of the scanner can be accounted for. The proposed algorithm was compared with the ISRA and BPF reconstruction algorithms, and was foundto converge significantly more quickly than ISRA and to offer some improvements in noise-contrast behaviour in cold regions when compared to BPF. However, with current computational limitations, the algorithm can only practically be applied to images up to a maximum size of 64x64x64 voxels.

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Documento generato il 10/04/20 alle ore 15:30:41