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Titolo:
Three-dimensional total variation norm for SPECT reconstruction
Autore:
Persson, M; Bone, D; Elmqvist, H;
Indirizzi:
Karolinska Inst, Div Med Engn, S-14186 Huddinge, Sweden Karolinska Inst Huddinge Sweden S-14186 d Engn, S-14186 Huddinge, Sweden Karolinska Hosp, Dept Clin Physiol, S-10401 Stockholm, Sweden Karolinska Hosp Stockholm Sweden S-10401 siol, S-10401 Stockholm, Sweden
Titolo Testata:
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
fascicolo: 1-2, volume: 471, anno: 2001,
pagine: 98 - 102
SICI:
0168-9002(20010921)471:1-2<98:TTVNFS>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
EM ALGORITHM;
Keywords:
SPECT; tomography; image reconstruction; scintigraphy; algorithm; simulation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
5
Recensione:
Indirizzi per estratti:
Indirizzo: Persson, M Karolinska Inst, Div Med Engn, S-14186 Huddinge, Sweden Karolinska Inst Huddinge Sweden S-14186 4186 Huddinge, Sweden
Citazione:
M. Persson et al., "Three-dimensional total variation norm for SPECT reconstruction", NUCL INST A, 471(1-2), 2001, pp. 98-102

Abstract

The total variation (TV) norm has been described in literature as a methodfor reducing noise in two-dimensional (2D) images. At the same time. the TV-norm is very good at recovering edges in images, without introducing ringing or edge artefacts. It has also been proposed as a 2D regularisation function in Bayesian reconstruction, implemented in an expectation maximisation (EM) algorithm, and called TV-EM. The TV-EM was developed for 2D SPECT imaging, and the algorithm is capable of smoothing noise while maintaining edges without introducing artefacts. We have extended the TV-norm to take into account the third spatial dimension, and developed an iterative EM algorithm based on the three-dimensional (3D) TV-norm, which we call TV3D-EM. This takes into account the correlation between transaxial sections in SPECT, due to system resolution. We have compared the 2D and 3D algorithms using reconstructed images from simulated projection data. Phantoms used were a homogeneous sphere, and a 3D head phantom based on the Shepp-Logan phantom. The TV3D-EM algorithm yielded somewhat lower noise levels than TV-EM. The noise in the TV3D-EM had similar correlation in transaxial and longitudinal sections, which was not the case for TV-EM, or any 2D reconstruction method. In particular, longitudinal sections from TV3D-EM were perceived as less noisy when compared to TV-EM. The use of 3D reconstruction should also be advantageous if compensation for distant dependent collimator blurring is incorporated in the iterative algorithm. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 18:31:23