DocumentCode :
374858
Title :
Implementation and evaluation of a 3D OSEM and median root prior (3D OSEM-MRP) reconstruction algorithm
Author :
Bettinardi, V. ; Pagani, E. ; Alenius, S. ; Teras, M. ; Gilardi, M.C. ; Labbe, C. ; Jacobsen, Matthew ; Thielemans, K. ; Sadki, M. ; Morel, C. ; Levkovitz, R. ; Ben-Tal, A. ; Spinks, T. ; Mitra, G. ; Fazio, F.
Author_Institution :
Sci. Inst., Milan Univ., Italy
Volume :
2
fYear :
2000
fDate :
2000
Abstract :
A 3D OSEM and Median Root Prior (3D OSEM-MRP) algorithm has been evaluated for the reconstruction of 3D PET studies. The algorithm was implemented using the software package developed during the EU project PARAPET. Evaluation was performed using experimental phantom data simulating in terms of shape and size PET brain studies. For each phantom, high (~200 Mcounts) and low (<50 Mcounts) count statistics 3D PET data were acquired. The performances of the algorithm were evaluated by calculating simple figures of merit (e.g. contrast, coefficient of variation, activity ratio between two regions) based on the use of regions of interest. The performances of the 3D OSEM-MRP were compared with those of a “pure” 3D OSEM and of the PROMIS algorithm, using different reconstruction filters. In all the considered experimental situations, 3D OSEM-MRP shows: 1) to converge to a stable solution, 2) to be quantitatively accurate, 3) to be very effective in noise reduction, particularly for low statistics data, 4) to maintain “good” spatial resolution. Compared with the 3D OSEM and PROMIS algorithms, 3D OSEM-MRP provides better or comparable results depending on the configuration parameters used for the reconstruction of the images
Keywords :
image reconstruction; medical image processing; positron emission tomography; 3D OSEM-Median Root Prior algorithm; 3D PET reconstruction; activity ratio; configuration parameters; low statistics data; medical diagnostic imaging; nuclear medicine; reconstruction filters; simple figures of merit calculation; spatial resolution; stable solution; Brain modeling; Filters; Image reconstruction; Imaging phantoms; Performance evaluation; Positron emission tomography; Shape; Software algorithms; Software packages; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2000 IEEE
Conference_Location :
Lyon
ISSN :
1082-3654
Print_ISBN :
0-7803-6503-8
Type :
conf
DOI :
10.1109/NSSMIC.2000.950102
Filename :
950102
Link To Document :
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