A Monte Carlo correction for Compton scattering effects in 3D PET brain imaging

Levin, C.S.; Dahlbom, Magnus; Hoffman, Edward J.

doi:10.1109/nssmic.1994.474776

Cited by 5 publications

(10 citation statements)

References 11 publications

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“…This is 250 times faster than most other currently available Monte Carlo PET simulations [3]- [6] and 150 times faster than our original code [9], [10]. When comparing simulated and measured data for regions where input data were accurate, a 5.5% systematic error was observed in the center of the FOV for a low-noise phantom study.…”

Section: Discussionmentioning

confidence: 77%

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Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

Holdsworth

Levin

Janecek

et al. 2002

IEEE Trans. Nucl. Sci.

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We are developing an accelerated Monte Carlo simulation of positron emission tomography (PET) that can be used for scatter correction of three-dimensional (3-D) PET data. Our Monte Carlo technique accurately accounts for single, multiple, and dual Compton scatter events, attenuation through the patient bed, and activity from outside the field of view. We have incorporated innovative sampling techniques that are compatible with our simulation approach, increasing computational efficiency by a factor of seven while improving accuracy through more sophisticated stratification and by incorporating the true energy response of the scanner. The required execution time to acquire 10 million scatter coincidence events for a 3-D thorax PET scan is only 4 min on a 300-MHz Sun dual-processor workstation. We demonstrate that for a low-noise thorax phantom study, image data corrected using the Monte Carlo 3-D PET scatter correction demonstrate no statistically significant deviation from the true activity concentration provided corresponding input data are accurate. The speed and accuracy of our simulation makes it an efficient research tool for studying scatter effects in PET and a practical scatter correction for 3-D PET clinical imaging.

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Section: Discussionmentioning

confidence: 77%

“…Our simulation code was originally written in C-Language [9], [10]. In previous work, we streamlined the program, implemented some simple variance reduction techniques, and improved the efficiency by a factor of 24 while improving the accuracy of the program [11].…”

Section: A Simulationmentioning

confidence: 99%

Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

Holdsworth

Levin

Janecek

et al. 2002

IEEE Trans. Nucl. Sci.

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“…Any remaining scatter and random counts are subtracted from the dataset using other techniques. 3,11 Note that Compton scatter events can account for >70% of all accepted events in a 3D-acquired whole-body clinical PET study, 12 even after energy window discrimination is applied, and so it is important that the residual scatter correction method is highly accurate in clinical PET.…”

Section: Pet Methodologymentioning

confidence: 99%

Molecular Imaging Instrumentation

Levin¹

2012

Molecular Imaging Probes for Cancer Research

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“…This severely degrades image contrast and compromises quantitative accuracy. An accurate scatter correction must be employed before 3D PET can become widely accepted [3,4]. Some scatter corrections are independent of source distribution and attenuating media [5-81.…”

Section: Introductionmentioning

confidence: 99%

Investigation of accelerated Monte Carlo techniques for PET simulation and 3D PET scatter correction

Holdsworth

Levin

Farquhar

et al. 2001

IEEE Trans. Nucl. Sci.

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We have been developing Monte Carlo Techniques for calculating primary and scatter photon distributions in PET. Our first goal has been to accelerate the Monte Carlo Code for fast PET simulation. Our second goal has been to use the simulation to analyze scatter effects in PET and explore the potential for use in scatter correction of clinical 3D PET studies. We have reduced the execution time to about 30 minutes or-1 million coincidences per minute on a dual 300MHz processor UltraSparcII workstation. The short execution time makes it feasible to use this technique for 3D PET scatter correction in the clinic. Fast simulation also allows us rapid feedback for the close examination of the accuracy of the method. We present techniques used to improve computational efficiency of Monte Carlo PET simulations. We use the simulation to analyze how scatter from within the body, outside the FOV, and from scanner shielding as well as the chosen energy threshold affect 3D PET sinograms.

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A Monte Carlo correction for Compton scattering effects in 3D PET brain imaging

Cited by 5 publications

References 11 publications

Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

Performance analysis of an improved 3-D PET Monte Carlo simulation and scatter correction

Molecular Imaging Instrumentation

Investigation of accelerated Monte Carlo techniques for PET simulation and 3D PET scatter correction

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