Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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A. Cserkaszky, M. Zvolsky, B. Frisch, T. Wendler
Simulation Framework for Novel Medical Applications
IEEE Nuclear Science Symposium and Medical Imaging Conference, Seattle, USA, November 2014 (bib)

We developed a modular simulation framework on top of the Geant4-based simulation toolkit GAMOS with custom extensions. The framework can take into account activity and material maps from real patient DICOM images and simulate moving, flexible, non-symmetric detectors even inside the patient. As a result of the computational complexity of the medically relevant simulations the framework also supports distributed computing on local computer clusters or computing grids. The framework helps in generating GAMOS input files from adaptable templates, then handles splitting a simulation into timeframe jobs, runs these jobs on the specified computing platform and finally merges the results. It can also be configured to automatically run a reconstruction software on the detector results, so the final product of the simulation is a reconstructed image for each simulated scenario. We demonstrate the features of the framework by showing image studies of freehand SPECT scans with real patient data. Once sufficient maturity is reached, we plan to release the framework back into the community.
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