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Proceedings Paper

Hybrid-model for computed tomography simulations and post-patient collimator design
Author(s): Horace Xu; Kun Tao; Padmashree GK; Mingye Wu; Ximiao Cao; Yong Long; Ming Yan; Yangyang Yao; Bruno De Man
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Paper Abstract

Ray-tracing based simulation methods are widely used in modeling X-ray propagation, detection and imaging. While most of the existing simulation methods rely on analytical modeling, a novel hybrid approach comprising of statistical modeling and analytical approaches, is proposed here. Our hybrid simulator is a unique combination of analytical modeling for evoking the fundamentals of X-ray transport through ray-tracing, and a look-up-table (LUT) based approach for integrating it with the Monte Carlo simulations that model optical photon-transport within scintillator. The LUT approach for scintillation-based X-ray detection invokes depth-dependent gain factors to account for intra-pixel absorption and light-transport, together with incident-angle dependent effects for inter-pixel X-ray absorption (parallax effect). The model simulates the post-patient collimator for scatter-rejection, as an X-ray shadow on scintillator, while handling its position with respect to the pixel boundary, by a smart over-sampling strategy for high efficiency. We have validated this simulator for computed tomography system-simulations, by using real data from GE Brivo CT385. The level of accuracy of image noise and spatial resolution is better than 98%. We have used the simulator for designing the post-patient collimator, and measured modulation transfer function (MTF) for different widths of the collimator plate. Validation and simulation study clearly demonstrates that the hybrid simulator is an accurate, reliable, efficient tool for realistic system-level simulations. It could be deployed for research, design and development purposes to model any scintillator-based X-ray imaging-system (2-dimensional and 3-dimensional), while being equally applicable for medical and industrial imaging.

Paper Details

Date Published: 19 March 2014
PDF: 6 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90334R (19 March 2014); doi: 10.1117/12.2043235
Show Author Affiliations
Horace Xu, GE Global Research Ctr. (China)
Kun Tao, GE Global Research Ctr. (China)
Padmashree GK, GE Healthcare Bio-Sciences Ltd. (India)
Mingye Wu, GE Global Research Ctr. (China)
Ximiao Cao, GE Healthcare (China)
Yong Long, GE Global Research Ctr. (United States)
Ming Yan, GE Global Research Ctr. (China)
Yangyang Yao, GE Global Research Ctr. (China)
Bruno De Man, GE Global Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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