Development of the multi-purpose gamma-ray detection system consisting of a double-sided silicon strip detector and a 25-segmented germanium detector

Lee, J.H.; Kim, N.Y.; Lee, C.S.; Jang, Z. H.

doi:10.1016/j.nuclphysa.2005.05.031

Cited by 16 publications

(4 citation statements)

References 6 publications

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“…Possible applications of these cameras include nuclear medicine imaging of patients, industrial nondestructive tests, space radiation measurements in astronomy, and detecting and locating special nuclear materials in defense and homeland security (Todd et al 1974, Al-Ghamdi and Xu 2003, Schönfelder et al 1973, Vetter et al 2007, Wahl and Zhong 2011. There has always been high interest in developing better Compton cameras not only for enhancing gamma-ray imaging (Singh and Brechner 1990, LeBlanc et al 1999, Lee et al 2005, Seo et al 2008, but also in close-up imaging, radiation therapy monitoring, and multi-tracer imaging (Zhang et al 2004, Llosa et al 2004, Peterson et al 2010, Motomura et al 2008, Seo et al 2010.…”

Section: Introductionmentioning

confidence: 99%

Resolution recovery reconstruction for a Compton camera

et al. 2013

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The spatial resolution from Compton cameras suffers from measurement uncertainties in interaction positions and energies. The degree of degradation in spatial resolution is shift-variant (SV) over the field-of-view (FOV) because the imaging principle is based on the conical surface integration. In our study, the shift-variant point spread function (SV-PSF) is derived from point source measurements at various positions in the FOV and is incorporated into the system matrix of a fully three-dimensional, accelerated reconstruction, i.e. the listmode ordered subset expectation maximization (LMOSEM) algorithm, for resolution recovery. Simulation data from point sources were used to estimate SV and asymmetric parameters for Gaussian, Cauchy, and general parametric PSFs. Although little difference in the fitness accuracy between Gaussian and general parametric PSFs was observed, the general parametric model showed greater flexibility over the FOV in shaping the curve between that for Gaussian and Cauchy functions. The estimated asymmetric SV-PSFs were incorporated into the LMOSEM for resolution recovery. For simulation data from a single point source at the origin, all LMOSEM-SV-PSFs improved the spatial resolution by 2.6 times over the standard LMOSEM. For two point-source simulations, reconstructions also gave a two-fold improvement in spatial resolution and resulted in a greater recovered activity ratio at different positions in the FOV.

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Section: Introductionmentioning

confidence: 99%

Resolution recovery reconstruction for a Compton camera

et al. 2013

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“…Considering that the interaction cross section of photoelectric effect rapidly decreases with increasing source energy, showing approximately hv −m dependency (with m ≈ 3 at hv = 0.1 MeV and m ≈ 1 at hv = 5 MeV) [12], whereas the interaction cross section of Compton scattering decreases relatively slowly, it is expected that Compton scattering will dominate in the second detector over the photoelectric effect if the source energy is high enough even though the photon will lose some of its energy by the Compton scattering at the first detector. In the present study, the performance of the double-scattering Compton camera was compared with that of a similarly dimensioned singlescattering Compton camera developed at Chung-Ang University in Korea [13]. This latter Compton camera consists of two position-sensitive detectors: a DSSD (5 cm×5 cm×0.15 cm, 16 strips on each side) as the scatter detector and a 25-segmented germanium detector (5 cm×5 cm×2 cm, 5×5 pixels) as the absorber detector.…”

Section: Comparison With Single-scattering Compton Cameramentioning

confidence: 99%

Monte Carlo simulations on performance of double-scattering Compton camera

et al. 2012

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A double-scattering Compton camera that can effectively obtain three-dimensional emission images in high-energy gamma-ray applications such as nuclear decommissioning and particle therapy monitoring has been developed. The double-scattering Compton camera utilizes two position-sensitive detectors as scatter detectors to determine the trajectory of a scattered gammaray, and a scintillation detector as absorber detector to measure the remaining energy of the doublescattered gamma-ray. The benefit of using two scatter detectors is the accurate determination of the gamma-ray trajectory after the scattering at the first scatter detector, which makes possible higher imaging resolution. In the present study, Geant4 Monte Carlo simulations were conducted to compare the performance of the double-scattering Compton camera with that of a similarly dimensioned single-scattering Compton camera for different source energies. Further, the optimal geometry of the multiple-detector-type double-scattering Compton camera was investigated for the purposes of increasing its imaging sensitivity. The results showed that the double-scattering Compton camera offers superior angular resolution over the entire energy range considered in the present study, whereas the single-scattering Compton camera provides greater sensitivity. The results also showed that, in general, the placement of additional detectors in the axial direction (i.e., stacking) is more effective for sensitivity improvement than doing so in the planar direction. This axial placement, however, lowers the imaging resolution. The double-scattering Compton camera exhibited the highest sensitivity when the additional scatter detectors were added to the first scatter detector

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“…The Compton camera is a non-invasive imaging system to detect a series of two successive interactions (Compton scattering and photoelectric absorption) of gamma rays emitting radionuclides inside the object. A three-dimensional (3-D) distribution of radionuclides is estimated from the measured interaction positions and energies on the Compton camera consisting of scattering and absorbing detectors [1][2][3][4][5]. Because there is no limit on the measurable energy of gamma rays, a multi-tracer imaging technique which can simultaneously detect different energy gamma rays is easily realized in the Compton camera.…”

Section: Introductionmentioning

confidence: 99%

Variance-reduction normalization technique for a compton camera system

et al. 2011

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For an artifact-free dataset, pre-processing (known as normalization) is needed to correct inherent non-uniformity of detection property in the Compton camera which consists of scattering and absorbing detectors. The detection efficiency depends on the non-uniform detection efficiency of the scattering and absorbing detectors, different incidence angles onto the detector surfaces, and the geometry of the two detectors. The correction factor for each detected position pair which is referred to as the normalization coefficient, is expressed as a product of factors representing the various variations. The variance-reduction technique (VRT) for a Compton camera (a normalization method) was studied. For the VRT, the Compton list-mode data of a planar uniform source of 140 keV was generated from a GATE simulation tool. The projection data of a

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Development of the multi-purpose gamma-ray detection system consisting of a double-sided silicon strip detector and a 25-segmented germanium detector

Cited by 16 publications

References 6 publications

Resolution recovery reconstruction for a Compton camera

Resolution recovery reconstruction for a Compton camera

Monte Carlo simulations on performance of double-scattering Compton camera

Variance-reduction normalization technique for a compton camera system

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