Collimator and energy window optimization for 90 Y bremsstrahlung SPECT imaging: A SIMIND Monte Carlo study

Roshan, Hoda Rezaei; Moeini, Babak; Gharepapagh, Esmaeil; Azarm, Ahmadreza; Islamian, Jalil Pirayesh

doi:10.1016/j.apradiso.2015.12.041

Cited by 21 publications

(12 citation statements)

References 16 publications

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“…The parallel hole collimator and energy window optimization in Y-90 have been studied. [123456] In this study, we used Monte Carlo simulation SIMIND code to demonstrate how the image quality degrades as function of imaging parameters. We have evaluated the image quality considering the contrast and contrast to noise ratio (CNR).…”

Section: Discussionmentioning

confidence: 99%

“…[1] Several works have been performed in the objective to optimize bremsstrahlung imaging. [23456] However, no study has evaluated the image quality and accurate activity quantification for Y-90 bremsstrahlung in terms of contrast and contrast to noise ratio and also geometric, penetration, and scatter components. In this study, a Monte Carlo simulation SIMIND code[7] was used to investigate the effects of the energy windows, using a high-energy (HE) collimator on the image contrast and signal to noise ratio (CNR), in order to optimize the Y-90 bremsstrahlung single-photon emission computed tomography (SPECT) imaging.…”

Section: Introductionmentioning

confidence: 99%

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Energy window and contrast optimization for single-photon emission computed tomography bremsstrahlung imaging with yttrium-90

et al. 2019

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Purpose: In yttrium-90 (Y-90) single-photon emission computed tomography (SPECT) imaging, the choice of the acquisition energy window is not trivial, due to the continuous and broad energy distribution of the bremsstrahlung photons. In this work, we investigate the effects of the energy windows on the image contrast to noise ratio (CNR), in order to select the optimal energy window for Y-90 imaging. Materials and Methods: We used the Monte Carlo SIMIND code to simulate the Jaszczak phantom which consists of the six hot spheres filled with Y-90 and ranging from 9.5 to 31.8 mm in diameter. Siemens Symbia gamma camera fitted with a high-energy collimator was simulated. To evaluate the effect of the energy windows on the image contrast, five narrow and large energy windows were assessed. Results: The optimal energy window obtained for Y-90 bremsstrahlung SPECT imaging was 120–150 keV. Furthermore, the results obtained for CNR indicate that the high detection is only for the three large spheres. Conclusion: The optimization of energy window in Y-90 bremsstrahlung has the potential to improve the image quality.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy window and contrast optimization for single-photon emission computed tomography bremsstrahlung imaging with yttrium-90

et al. 2019

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“…Since 90 Y is a pure β-emitter, the bremsstrahlung radiation used for SPECT imposes the use of broad energy windows which contain large amounts of scattered radiation. In that case, a different Monte Carlo code (SIMIND) was used to optimize the collimators and the energy window for 90 Y SPECT (Roshan et al 2016). 90 Y PET is challenging due to the very low positron yield (3.186× 10 −5 ) and Strydhorst et al performed a detailed analysis of the sources of quantification error in 90 Y PET by separating true coincidences from random and true events caused by the 176 Lu LSO crystal activity and by bremsstrahlung radiation in phantom simulations with GATE (Strydhorst et al 2016b).…”

Section: Simulation Of Imaging Systems and Applicationsmentioning

confidence: 99%

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

et al. 2021

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Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular, used by researchers and industrials to design, optimize, understand and create innovative emission tomography systems. In this paper, we reviewed the recent developments that have been proposed to simulate modern detectors and provide a comprehensive report on imaging systems that have been simulated and evaluated in GATE. Additionally, some methodological developments that are not specific for imaging but that can improve detector modeling and provide computation time gains, such as Variance Reduction Techniques and Artificial Intelligence integration, are described and discussed.

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“…Accordingly, several compensation scatter methods have been proposed, for example, the triple-energy window method and the Compton window subtraction method ( 10 , 11 ). Therefore, the Monte Carlo simulation technique ( 12 , 13 , 14 , 15 , 16 , 17 , 18 ) separates the original, penetration, and scatter contribution inside the photopeak window. In this study, we compared the simulated energy spectra in Ga-67 imaging for different parallel-hole collimators for the Siemens Symbia gamma-camera ( Table 1 ).…”

Section: Introductionmentioning

confidence: 99%

Collimator and Energy Window Evaluation in Ga-67 Imaging by Monte Carlo Simulation

Ouahman

Errifai

Asmi

et al. 2020

Mirt

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Objectives: Gallium-67 (Ga-67) imaging is affected by collimator penetration and scatter components owing to the high-energy (HE) gamma-ray emissions. The characterization of penetration and scatter distribution is essential for the optimization of low-energy high-resolution (LEHR), medium energy (ME), and HE collimators and for the development of an effective correction technique. We compared the image quality that can be achieved by 3 collimators for different energy windows using the SIMIND Monte Carlo code. Methods: Simulation experiments were conducted for LEHR, ME, and HE collimators for Ga-67 point source placed at 12-cm distance from the detector surface using the Monte Carlo SIMIND simulation code. Their spectra point spread functions as well as the original, penetration, scattering, and X-rays curves were drawn and analyzed. The parameters full-width at half maximum and full-width at tenth maximum were also investigated. Results: The original, penetration, and scatter curves within 10% for LEHR were 34.46%, 33.52%, 17.29%, and 14.72%, respectively. Similarly, the original, penetration, scatter, and X-rays within 10% for ME and HE were 83.06%, 10.25%, 6.69%, and 0% and 81.44%, 11.51%, 7.05%, and 0%, respectively. The trade-off between spatial resolution and sensitivity was achieved by using the ME collimator at 185 photopeak of Ga-67. Conclusion: The Monte Carlo simulation outcomes can be applied for optimal collimator designing and for the development of new correction method in Ga-67 imaging.

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Collimator and energy window optimization for 90 Y bremsstrahlung SPECT imaging: A SIMIND Monte Carlo study

Cited by 21 publications

References 16 publications

Energy window and contrast optimization for single-photon emission computed tomography bremsstrahlung imaging with yttrium-90

Energy window and contrast optimization for single-photon emission computed tomography bremsstrahlung imaging with yttrium-90

Advanced Monte Carlo simulations of emission tomography imaging systems with GATE

Collimator and Energy Window Evaluation in Ga-67 Imaging by Monte Carlo Simulation

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