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Titolo:
OPTIMIZATION OF PET IMAGE QUALITY BY MEAN S OF 3D DATA-ACQUISITION AND ITERATIVE IMAGE-RECONSTRUCTION
Autore:
DOLL J; ZAERS J; TROJAN H; BELLEMANN ME; ADAM LE; HABERKORN U; BRIX G;
Indirizzi:
DEUTSCH KREBSFORSCHUNGSZENTRUM,FORSCH SCHWERPUNKT RADIOL DIAGNOST & THERAPIE D-69120 HEIDELBERG GERMANY
Titolo Testata:
Nuklearmedizin
fascicolo: 2, volume: 37, anno: 1998,
pagine: 62 - 67
Fonte:
ISI
Lingua:
GER
Soggetto:
POSITRON EMISSION TOMOGRAPHY;
Keywords:
POSITRON EMISSION TOMOGRAPHY; 3D DATA ACQUISITION; ITERATIVE IMAGE RECONSTRUCTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
J. Doll et al., "OPTIMIZATION OF PET IMAGE QUALITY BY MEAN S OF 3D DATA-ACQUISITION AND ITERATIVE IMAGE-RECONSTRUCTION", Nuklearmedizin, 37(2), 1998, pp. 62-67

Abstract

Purpose: In the recent past, several algorithms have been developed in order to transform 3D sinograms acquired at volume PET systems into 2D data sets. These methods offer the possibility to combine the high sensitivity of the 3D measurement with the advantages of iterative 2D image reconstruction. The purpose of our study was the assessment of this approach by using phantom measurements and patient examinations. Methods: The experiments were performed at the latest-generation whole-body PET system ECAT EXACT HR+. For 2D data acquisition, a collimator of thin tungsten septa was positioned in the field-of-view. Prior to image reconstruction, the measured 3D data were sorted into 2D sinograms by using the Fourier rebinning (FORE) algorithm developed by M. Defrise. The standard filtered backprojection (FBP) method and an optimized ML/EM algorithm with overrelaxation for accelerated convergence wereemployed for image reconstruction, The spatial resolution of both methods as well as the convergence and noise properties of the ML/EM algorithm were studied in phantom measurements. Furthermore, patient data were acquired in the 2D mode as well as in the 3D mode and reconstructed with both techniques. Results: At the same spatial resolution, the WL/EM-reconstructed images showed fewer and less prominent artefacts than the FBP-reconstructed images. The resulting improved detail conspicuousy was achieved for the data acquired in the 2D mode as well as inthe 3D mode. The best image quality was obtained by iterative 2D reconstruction of 3D data sets which were previously rebinned into 2D sinograms with help of the FORE algorithm. The phantom measurements revealed that 50 iteration steps with the optimized ML/EM algorithm were sufficient to keep the relative quantitation error below 5%. Conclusion: Our measurements show that the image quality in 3D PET can be improvedby using iterative reconstruction.techniques. The concept of 3D data acquisition and combining the FORE algorithm with 2D ML/EM reconstruction can readily be employed in clinical practice since the computationtime is not considerably longer than that in iterative reconstructionof true 2D data.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/04/20 alle ore 12:32:22