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Titolo: PARAMETRIC IMAGERECONSTRUCTION USING SPECTRALANALYSIS OF PET PROJECTION DATA
Autore: MEIKLE SR; MATTHEWS JC; CUNNINGHAM VJ; BAILEY DL; LIVIERATOS L; JONES T; PRICE P;
 Indirizzi:
 ROYAL PRINCE ALFRED HOSP,DEPT PET & NUCL MED,MISSENDEN RD CAMPERDOWN NSW 2050 AUSTRALIA HAMMERSMITH HOSP,ROYAL POSTGRAD MED SCH,MRC,CYCLOTRON UNIT LONDON W120NN ENGLAND
 Titolo Testata:
 Physics in medicine and biology
fascicolo: 3,
volume: 43,
anno: 1998,
pagine: 651  666
 SICI:
 00319155(1998)43:3<651:PIUSOP>2.0.ZU;2P
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 POSITRON EMISSION TOMOGRAPHY; NOISE PROPERTIES; BLOODFLOW; EM RECONSTRUCTION; ALGORITHM; CLEARANCE; TRACERS; TIME;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Science Citation Index Expanded
 Citazioni:
 39
 Recensione:
 Indirizzi per estratti:



 Citazione:
 S.R. Meikle et al., "PARAMETRIC IMAGERECONSTRUCTION USING SPECTRALANALYSIS OF PET PROJECTION DATA", Physics in medicine and biology, 43(3), 1998, pp. 651666
Abstract
Spectral analysis is a general modelling approach that enables calculation of parametric images from reconstructed tracer kinetic data independent of an assumed compartmental structure. We investigated the validity of applying spectral analysis directly to projection data motivated by the advantages that: (i) the number of reconstructions is reduced by an order of magnitude and (ii) iterative reconstruction becomes practical which may improve signaltonoise ratio (SNR). A dynamic software phantom with typical 2[C11]thymidine kinetics was used to compare projectionbased and imagebased methods and to assess biasvariance tradeoffs using iterative expectation maximization (EM) reconstruction. We found that the two approaches are not exactly equivalent due to properties of the nonnegative leastsquares algorithm. However, thedifferences are small (<5%) and mainly affect parameters related to early and late time points on the impulse response function (K1 and, to a lesser extent, VD). The optimal number of EM iterations was 1530 with up to a twofold improvement in SNR over filtered back projection. We conclude that projectionbased spectral analysis with EM reconstruction yields accurate parametric images with high SNR and has potential application to a wide range of positron emission tomography ligands.
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Documento generato il 05/07/20 alle ore 21:33:20