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Titolo:
Fast transmission CT reconstruction for SPECT using a block-iterative algorithm
Autore:
Lalush, DS; Tsui, BMW;
Indirizzi:
Univ N Carolina, Dept Biomed Engn, Chapel Hill, NC 27514 USA Univ N Carolina Chapel Hill NC USA 27514 Engn, Chapel Hill, NC 27514 USA Univ N Carolina, Dept Radiol, Chapel Hill, NC USA Univ N Carolina Chapel Hill NC USA ina, Dept Radiol, Chapel Hill, NC USA
Titolo Testata:
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
fascicolo: 3, volume: 47, anno: 2000,
parte:, 3
pagine: 1123 - 1129
SICI:
0018-9499(200006)47:3<1123:FTCRFS>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSITRON EMISSION TOMOGRAPHY; ORDERED SUBSETS; EM ALGORITHM; NONUNIFORM ATTENUATION; IMAGE-RECONSTRUCTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
22
Recensione:
Indirizzi per estratti:
Indirizzo: Lalush, DS Univ N Carolina, Dept Biomed Engn, Chapel Hill, NC 27514 USA Univ N Carolina Chapel Hill NC USA 27514 el Hill, NC 27514 USA
Citazione:
D.S. Lalush e B.M.W. Tsui, "Fast transmission CT reconstruction for SPECT using a block-iterative algorithm", IEEE NUCL S, 47(3), 2000, pp. 1123-1129

Abstract

We present an iterative transmission reconstruction algorithm based on principles used for block-iterative emission reconstruction. Filtered backprojection (FBP) is adequate for transmission CT image reconstruction under ideal conditions. In cases where insufficient count rates are obtained, FBP suffers from significant biases. Our block-iterative transmission algorithm is developed by analogy to ordered-subset emission CT algorithms. We, show similarities between our algorithm and a previously-proposed Ordered-Subset Convex (OSC) algorithm. Under ideal conditions, our block-iterative transmission algorithm generates estimates of attenuation line integrals that are not significantly different from those from FBP or OSC. In the case of verylow count-rate data, our block-iterative algorithm produces line integral estimates that are less biased than those from FBP and nearly identical to those from OSC. We show that our algorithm is more computationally efficient than OSC. We conclude that our block-iterative method is a viable alternative to FBP and other iterative algorithms, especially under poor imaging conditions.

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Documento generato il 25/01/20 alle ore 19:47:18