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dc.contributor.authorIslamian, JP
dc.contributor.authorToossi, MTB
dc.contributor.authorMomennezhad, M
dc.contributor.authorNaseri, S
dc.contributor.authorLjungberg, M
dc.date.accessioned2018-08-26T09:34:55Z
dc.date.available2018-08-26T09:34:55Z
dc.date.issued2012
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/57806
dc.description.abstractIntroduction: Quality control is an important phenomenon in nuclear medicine imaging. A Jaszczak SPECT Phantom provides consistent performance information for any SPECT or PET system. This article describes the simulation of a Jaszczak phantom and creating an executable phantom file for comparing assessment of SPECT cameras using SIMIND Monte Carlo simulation program which is well-established for SPECT. Materials and Methods: The simulation was based on a Deluxe model of Jaszczak Phantom with defined geometry. Quality control tests were provided together with initial imaging example and suggested use for the assessment of parameters such as spatial resolution, limits of lesion detection, and contrast comparing with a Siemens E.Cam SPECT system. Results: The phantom simulation was verified by matching tomographic spatial resolution, image contrast, and also uniformity compared with the experiment SPECT of the phantom from filtered backprojection reconstructed images of the spheres and rods. The calculated contrasts of the rods were 0.774, 0.627, 0.575, 0.372, 0.191, and 0.132 for an experiment with the rods diameters of 31.8, 25.4, 19.1, 15.9, 12.7, and 9.5 mm, respectively. The calculated contrasts of simulated rods were 0.661, 0.527, 0.487, 0.400, 0.23, and 0.2 for cold rods and also 0.92, 0.91, 0.88, 0.81, 0.76, and 0.56 for hot rods. Reconstructed spatial tomographic resolution of both experiment and simulated SPECTs of the phantom obtained about 9.5 mm. An executable phantom file and an input phantom file were created for the SIMIND Monte Carlo program. Conclusion: This phantom may be used for simulated SPECT systems and would be ideal for verification of the simulated systems with real ones by comparing the results of quality control and image evaluation. It is also envisaged that this phantom could be used with a range of radionuclide doses in simulation situations such as cold, hot, and background uptakes for the assessment of detection characteristics when a new similar clinical SPECT procedure is being simulated.
dc.language.isoEnglish
dc.relation.ispartofIranian Journal of Medical Physics
dc.subjectConsistent performance
dc.subjectDetection characteristics
dc.subjectFiltered back-projection
dc.subjectImage contrasts
dc.subjectImage evaluation
dc.subjectJaszczak phantom
dc.subjectLesion detection
dc.subjectMONTE CARLO
dc.subjectMonte Carlo programs
dc.subjectMonte Carlo Simulation
dc.subjectNuclear medicine imaging
dc.subjectQuality control tests
dc.subjectReconstructed image
dc.subjectSiemens
dc.subjectSimulated system
dc.subjectSpatial resolution
dc.subjectSPECT
dc.subjectSPECT system
dc.subjectTomographic
dc.subjectTomographic resolution
dc.subjectComputer simulation
dc.subjectExperiments
dc.subjectImage resolution
dc.subjectNuclear medicine
dc.subjectQuality assurance
dc.subjectQuality control
dc.subjectSingle photon emission computed tomography
dc.subjectTomography
dc.subjectMonte Carlo methods
dc.titleSimulation of a quality control jaszczak phantom with SIMIND Monte Carlo and adding the phantom as an accessory to the program
dc.typeReview
dc.citation.volume9
dc.citation.issue1-2
dc.citation.spage135
dc.citation.epage140
dc.citation.indexScopus


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