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Determination of the detective quantum efficiency of gamma camera systems: a Monte Carlo study
Department of Medical Physics, Karlstad Hospital, Karlstad, Sweden .
Jönköping University, School of Health Science, HHJ, Dep. of Natural Science and Biomedicine.
Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden.
2010 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 139, no 1-3, 219-227 p.Article in journal (Refereed) Published
Abstract [en]

The purpose of the present work was to investigate the validity of using the Monte Carlo technique for determining the detective quantum efficiency (DQE) of a gamma camera system and to use this technique in investigating the DQE behaviour of a gamma camera system and its dependency on a number of relevant parameters. The Monte Carlo-based software SIMIND, simulating a complete gamma camera system, was used in the present study. The modulation transfer function (MTF) of the system was determined from simulated images of a point source of (99m)Tc, positioned at different depths in a water phantom. Simulations were performed using different collimators and energy windows. The MTF of the system was combined with the photon yield and the sensitivity, obtained from the simulations, to form the frequency-dependent DQE of the system. As figure-of-merit (FOM), the integral of the 2D DQE was used. The simulated DQE curves agreed well with published data. As expected, there was a strong dependency of the shape and magnitude of the DQE curve on the collimator, energy window and imaging position. The highest FOM was obtained for a lower energy threshold of 127 keV for objects close to the detector and 131 keV for objects deeper in the phantom, supporting an asymmetric window setting to reduce scatter. The Monte Carlo software SIMIND can be used to determine the DQE of a gamma camera system from a simulated point source alone. The optimal DQE results in the present study were obtained for parameter settings close to the clinically used settings.

Place, publisher, year, edition, pages
2010. Vol. 139, no 1-3, 219-227 p.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:hj:diva-22703DOI: 10.1093/rpd/ncq055PubMedID: 20172935OAI: oai:DiVA.org:hj-22703DiVA: diva2:678845
Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2014-03-04Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
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  • de-DE
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