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Titolo:
Comparison of parametric FBP and OS-EM reconstruction algorithm images forPET dynamic study
Autore:
Oda, K; Toyama, H; Uemura, K; Ikoma, Y; Kimura, Y; Senda, M;
Indirizzi:
Tokyo Metropolitan Inst Gerontol, Positron Med Ctr, Itabashi Ku, Tokyo 1730022, Japan Tokyo Metropolitan Inst Gerontol Tokyo Japan 1730022 okyo 1730022, Japan Waseda Univ, Sch Sci & Engn, Tokyo 169, Japan Waseda Univ Tokyo Japan 169 aseda Univ, Sch Sci & Engn, Tokyo 169, Japan
Titolo Testata:
ANNALS OF NUCLEAR MEDICINE
fascicolo: 5, volume: 15, anno: 2001,
pagine: 417 - 423
SICI:
0914-7187(200110)15:5<417:COPFAO>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
NOISE PROPERTIES; FILTERED-BACKPROJECTION;
Keywords:
parametric image; filtered backprojection; ordered subsets expectation maximization; PET;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Oda, K Tokyo Metropolitan Inst Gerontol, Positron Med Ctr, Itabashi Ku, 1-1 Nakacho, Tokyo 1730022, Japan Tokyo Metropolitan Inst Gerontol 1-1 Nakacho Tokyo Japan 1730022 n
Citazione:
K. Oda et al., "Comparison of parametric FBP and OS-EM reconstruction algorithm images forPET dynamic study", ANN NUCL M, 15(5), 2001, pp. 417-423

Abstract

An ordered subsets expectation maximization (OS-EM) algorithm is used for image reconstruction to suppress image noise and to make non-negative valueimages. We have applied OS-EM to a digital brain phantom and to human brain F-18-FDG PET kinetic studies to generate parametric images. A 45 min dynamic scan was performed starting injection of FDG with a 2D PET scanner. Theimages were reconstructed with OS-EM (6 iterations, 16 subsets) and with filtered backprojection (FBP), and K1, k2 and k3 images were created by the Marquardt non-linear least squares method based on the 3-parameter kinetic model. Although the OS-EM activity images correlated fairly well with thoseobtained by FBP, the pixel correlations were poor for the k2 and k3 parametric images, but the plots were scattered along the line of identity and the mean values for K1, k2 and k3 obtained by OS-EM were almost equal to those by FBP. The kinetic fitting error for OS-EM was no smaller than that for FBP. The results suggest that OS-EM is not necessarily superior to FBP for creating, parametric images.

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Documento generato il 03/04/20 alle ore 20:34:30