Monte Carlo radiographic model with CAD-based geometry description

Jaenisch, Gerd-Rüdiger; Bellon, Carsten; Samadurau, U.; Zhukovsky, M E; Podoliako, S.

doi:10.1784/insi.2006.48.10.618

Cited by 12 publications

(10 citation statements)

References 3 publications

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“…In addition to the application outlined above, we consider coupling this electron transport code to the photon transport code McRay [5]. This will involve additionally simulating Bremsstrahlung production as well as characteristic radiation.…”

Section: Discussionmentioning

confidence: 99%

Simulation of Electron Transport

Zhukovsky¹,

Skachkov²,

Deresch³

et al. 2010

AIP Conference Proceedings

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Section: Discussionmentioning

confidence: 99%

Simulation of Electron Transport

Zhukovsky¹,

Skachkov²,

Deresch³

et al. 2010

AIP Conference Proceedings

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“…Many MC simulators have been introduced for this purpose. Among these simulators are MCNP [19], aRTist [20], [21], EGSnrc [22], Penelope [23], and others. The main drawback of the existing MC simulators is their required computational effort.…”

Section: B Related Workmentioning

confidence: 99%

“…Considering the comparison case of the car engine (2), 347× acceleration is achieved in comparison to the EGSnrc simulator, while more than 18× acceleration is achieved in comparison to the aRTist simulator. It is worth mentioning that the aRTist simulator is one of the fastest simulators available on the CPU platform [20]. 2) Evaluation of the Execution Time Using 12 CPU Threads and a Single-GPU: In the second case, 12 threads were used for the CPU simulators.…”

Section: F Evaluation On Execution Time Of the Proposed MC Modelmentioning

confidence: 99%

Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model

Alsaffar¹,

Kieß²,

Sun³

et al. 2022

Preprint

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In computed tomography (CT) reconstruction, scattering causes server quality degradation of the reconstructed CT images by introducing streaks and cupping artifacts which reduce the detectability of low contrast objects. Monte Carlo (MC) simulation is considered as the most accurate approach for scatter estimation. However, the existing MC estimators are computationally expensive especially for the considered highresolution flat-panel CT. In this paper, we propose a fast and accurate photon transport model which describes the physics within the 1 keV to 1 MeV range using multiple controllable key parameters. Based on this model, scatter computation for a single projection can be completed within a range of few seconds under well-defined model parameters. Smoothing and interpolation are performed on the estimated scatter to accelerate the scatter calculation without compromising accuracy too much compared to measured near scatter-free projection images. Combining the scatter estimation with the filtered backprojection (FBP), scatter correction is performed effectively in an iterative manner. In order to evaluate the proposed MC model, we have conducted extensive experiments on the simulated data and real-world highresolution flat-panel CT. Comparing to the state-of-the-art MC simulators, our photon transport model achieved a 202× speedup on a four GPU system comparing to the multi-threaded state-of-the-art EGSnrc MC simulator. Besides, it is shown that for real-world high-resolution flat-panel CT, scatter correction with sufficient accuracy is accomplished within one to three iterations using a FBP and a forward projection computed with the proposed fast MC photon transport model.

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“…McRay [2,3] is a customized Monte Carlo code with an incomplete variance reduction scheme. It considers photoelectric absorption, coherent and incoherent scattering including electron binding effects.…”

Section: Mcraymentioning

confidence: 99%

Radiographic Benchmark Problem 2009—scatter Calculations in Modelling

Jaenisch¹,

Bellon²,

Schumm³

et al. 2010

AIP Conference Proceedings

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Code Validation is a permanent concern in computer simulation, and has been addressed repeatedly in eddy current and ultrasonic modelling. A good benchmark problem is sufficiently simple to be taken into account by various codes without strong requirements on geometry representation capabilities, focuses on few or even a single aspect of the problem at hand to facilitate interpretation and to avoid that compound errors compensate themselves, yields a quantitative result and is experimentally accessible. In this paper we attempt to address code validation for one aspect of radiographic modelling, the scattered radiation prediction. An update of the results of the 2008 benchmark is presented. Additionally we discuss the extension of this benchmark on the lower energy part for 60 and 80 keV as well as for higher energies up to 10 MeV to study the contribution of pair production. Of special interest will be the primary radiation (attenuation law as reference), the total scattered radiation, the relative contribution of scattered radiation separated by order of scatter events (1st, 2nd, …, 20th), and the spectrum of scattered radiation. We present the results of three Monte Carlo codes (MC-Ray, Sindbad and Moderato) as well as an analytical first order scattering code (VXI) and compare to MCNP as reference.

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Monte Carlo radiographic model with CAD-based geometry description

Cited by 12 publications

References 3 publications

Simulation of Electron Transport

Simulation of Electron Transport

Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model

Radiographic Benchmark Problem 2009—scatter Calculations in Modelling

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