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

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M. Zvolsky, A. Cserkaszky, G. Cucciati, E. Garutti, P. Mitsakis, B. Frisch
Monte-Carlo Simulation and Image Reconstruction for an Endoscopic TOFPET Detector
IEEE Nuclear Science Symposium and Medical Imaging Conference, Seattle, USA, November 2014 (bib)

The EndoTOFPET?-US collaboration develops a novel multimodal device for Ultrasound (US) Endoscopy and Positron Emission Tomography (PET) for detecting and quantifying novel morphologic and functional biomarkers for pancreas and prostate oncology. The detector is based on scintillating crystals with Silicon Photomultiplier (SiPM?) read-out, aiming at a time of flight coincidence time resolution of 200 ps and a spatial resolution of ˜ 1 mm to allow for more sensitive, more precise and lower radiation-dose imaging than whole-body devices. In order to study both the detector system as well as the medical workflow and to assist the collaboration in their effort to optimize the PET detectors and the dedicated software, we simulate the device. The simulation framework is based on the Geant4-based simulation toolkit GAMOS, with custom extensions to run on a computing cluster and use real DICOM patient data for simulations. A custom-made reconstruction algorithm accounts for the limitations of such a detector, including the limited field of view and consequent low sensitivity and the freehand nature of the acquisition that results in an undefined and continuously changing field of view. We present studies of the expected performance of the EndoTOFPET?-US detector using analytical phantoms that imitate the human body as well as voxelised DICOM datasets. These datasets are either simulated XCAT phantoms or based on real PET/CT patient data. The studies suggest that the endoscopic approach of the EndoTOFPET?-US detector is able to separate the prostatic lesion well from the background radiation from prostate and bladder.
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