Paper
18 March 2015 NVIDIA OptiX ray-tracing engine as a new tool for modelling medical imaging systems
Jakub Pietrzak, Krzysztof Kacperski, Marek Cieślar
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Abstract
The most accurate technique to model the X- and gamma radiation path through a numerically defined object is the Monte Carlo simulation which follows single photons according to their interaction probabilities. A simplified and much faster approach, which just integrates total interaction probabilities along selected paths, is known as ray tracing. Both techniques are used in medical imaging for simulating real imaging systems and as projectors required in iterative tomographic reconstruction algorithms. These approaches are ready for massive parallel implementation e.g. on Graphics Processing Units (GPU), which can greatly accelerate the computation time at a relatively low cost. In this paper we describe the application of the NVIDIA OptiX ray-tracing engine, popular in professional graphics and rendering applications, as a new powerful tool for X- and gamma ray-tracing in medical imaging. It allows the implementation of a variety of physical interactions of rays with pixel-, mesh- or nurbs-based objects, and recording any required quantities, like path integrals, interaction sites, deposited energies, and others. Using the OptiX engine we have implemented a code for rapid Monte Carlo simulations of Single Photon Emission Computed Tomography (SPECT) imaging, as well as the ray-tracing projector, which can be used in reconstruction algorithms. The engine generates efficient, scalable and optimized GPU code, ready to run on multi GPU heterogeneous systems. We have compared the results our simulations with the GATE package. With the OptiX engine the computation time of a Monte Carlo simulation can be reduced from days to minutes.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jakub Pietrzak, Krzysztof Kacperski, and Marek Cieślar "NVIDIA OptiX ray-tracing engine as a new tool for modelling medical imaging systems", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122P (18 March 2015); https://doi.org/10.1117/12.2082349
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KEYWORDS
Monte Carlo methods

Collimators

Medical imaging

Reconstruction algorithms

Projection systems

Point spread functions

Single photon emission computed tomography

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