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Titolo:
An interior point iterative maximum-likelihood reconstruction algorithm incorporating upper and lower bounds with application to SPECT transmission imaging
Autore:
Narayanan, MV; Byrne, CL; King, MA;
Indirizzi:
Univ Massachusetts, Sch Med, Dept Radiol, Div Nucl Med, Worcester, MA 01655 USA Univ Massachusetts Worcester MA USA 01655 cl Med, Worcester, MA 01655 USA Univ Massachusetts, Dept Math Sci, Lowell, MA 01854 USA Univ Massachusetts Lowell MA USA 01854 ept Math Sci, Lowell, MA 01854 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 4, volume: 20, anno: 2001,
pagine: 342 - 353
SICI:
0278-0062(200104)20:4<342:AIPIMR>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
FAN-BEAM TRANSMISSION; CARDIAC SPECT; ATTENUATION MAPS; TRUNCATION ARTIFACTS; COMPTON-SCATTER; EMISSION; TOMOGRAPHY; SINGLE; REDUCTION; SYSTEM;
Keywords:
attenuation; iterative methods; single photon emission computed tomography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Narayanan, MV Univ Massachusetts, Sch Med, Dept Radiol, Div Nucl Med, 55 Lake Ave N, Worcester, MA 01655 USA Univ Massachusetts 55 Lake Ave N Worcester MA USA 01655 USA
Citazione:
M.V. Narayanan et al., "An interior point iterative maximum-likelihood reconstruction algorithm incorporating upper and lower bounds with application to SPECT transmission imaging", IEEE MED IM, 20(4), 2001, pp. 342-353

Abstract

The algorithm we consider here is a block-iterative (or ordered subset) version of the interior point algorithm for transmission reconstruction. Our algorithm is an interior point method because each vector of the iterative sequence (x(k)), k = 0, 1, 2,... satisfies the constraints a(j) < x(j)(k) <b(j),j = 1,..., J. Because it is a block-iterative algorithm that reconstructs the transmission attenuation map and places constraints above and below the pixel values of the reconstructed image, we call it the BITAB method. Computer simulations using the three-dimensional mathematical cardiac and torso phantom, reveal that the BITAB algorithm in conjunction with reasonably selected prior upper and lower bounds has the potential to improve the accuracy of the reconstructed attenuation coefficients from truncated fan beam transmission projections. By suitably selecting the bounds, it is possible to restrict the over estimation of coefficients outside the fully sampled region, that results from reconstructing truncated fan beam projections with iterative transmission algorithms such as the maximum-likelihood gradient type algorithm.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 06:41:58