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Titolo:
Maximizing the detection and localization of Ga-67 tumors in thoracic SPECT MLEM(OSEM) reconstructions
Autore:
Wells, RG; Simkin, PH; Judy, PF; King, MA;
Indirizzi:
Univ Massachusetts, Med Ctr, Worcester, MA 01605 USA Univ Massachusetts Worcester MA USA 01605 ed Ctr, Worcester, MA 01605 USA Brigham & Womens Hosp, Boston, MA 02115 USA Brigham & Womens Hosp Boston MA USA 02115 mens Hosp, Boston, MA 02115 USA
Titolo Testata:
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
fascicolo: 4, volume: 46, anno: 1999,
parte:, 2
pagine: 1191 - 1198
SICI:
0018-9499(199908)46:4<1191:MTDALO>2.0.ZU;2-Z
Fonte:
ISI
Lingua:
ENG
Soggetto:
LIKELIHOOD ESTIMATOR IMAGES; EM ALGORITHM; NOISE PROPERTIES; ML-EM; FILTERED-BACKPROJECTION; OBSERVER PERFORMANCE; TOMOGRAPHIC-IMAGES; FDG PET; DETECTABILITY; QUANTITATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
39
Recensione:
Indirizzi per estratti:
Indirizzo: Wells, RG Univ Massachusetts, Med Ctr, Worcester, MA 01605 USA Univ Massachusetts Worcester MA USA 01605 rcester, MA 01605 USA
Citazione:
R.G. Wells et al., "Maximizing the detection and localization of Ga-67 tumors in thoracic SPECT MLEM(OSEM) reconstructions", IEEE NUCL S, 46(4), 1999, pp. 1191-1198

Abstract

Iterative reconstruction algorithms are usually regularized by applying a penalty function, by postfiltering, or by halting the algorithm after some number of iterations. It is difficult to know a priori what is the optimal combination of regularization methods. One method of selection is to use a localization receiver operating characteristic (LROC) study. LROC extends ROC analysis by incorporating a search-and-localize component into the task. Using LROC, we investigated the combination of iteration number and 3D Gaussian filter which will maximize the detectability and localization accuracy of l-cm gallium-avid tumors in maximum-likelihood (ordered-subset) expectation-maximization SPECT reconstructions of the chest region. In our study,five observers read 200 images per test condition, divided equally over two reading sessions. In each case, the observer indicated the most probable location of the lesion in the image and provided a confidence rating (as inan ROC experiment). The best observer performance was achieved using a reconstruction with 8 iterations of MLEM followed by filtering with a 3D Gaussian filter having a 4-pixel (1.3 cm)FWBM, although the difference between this test condition and others is not significant over a broad range of the parameters considered.

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Documento generato il 07/07/20 alle ore 05:30:12