Performance Estimation for the High Resolution CaLIPSO Brain PET Scanner: A Simulation Study
| Autor: | D. Yvon, V. Sharyy, P. Verrecchia, Sébastien Jan, Xavier Mancardi, Olga Kochebina, Simon Stute |
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| Rok vydání: | 2019 |
| Předmět: |
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medicine.diagnostic_test Computer science business.industry Detector Monte Carlo method Iterative reconstruction Atomic and Molecular Physics and Optics Optics Positron emission tomography medicine Image noise Radiology Nuclear Medicine and imaging Tomography business Instrumentation Image resolution |
| Zdroj: | IEEE Transactions on Radiation and Plasma Medical Sciences. 3:363-370 |
| ISSN: | 2469-7303 2469-7311 |
| DOI: | 10.1109/trpms.2018.2880811 |
| Popis: | The foreseen CaLIPSO positron emission tomography (PET) scanner is dedicated to brain imaging. With its new detection technology, it is expected to yield simultaneously a fine spatial resolution of about 1 mm3, and a low image noise thanks to a time-of-flight with coincidence resolving time of about 150 ps. In this paper, we present the results of GATE Monte Carlo simulations of the full CaLIPSO PET scanner with a “cube” geometry. The estimated sensitivity, noise equivalent count rates, and spatial resolution are reported and compared to three real PET scanners dedicated to brain studies: 1) the high-resolution research tomograph by Siemens; 2) the NeuroPET/CT by Photo Diagnostic Systems, Inc.; and 3) the high resolution brain PET with a depth of interaction scanner by Hamamatsu. The results demonstrate the high potential of the CaLIPSO PET scanner for brain imaging where the combination of high spatial resolution and low image noise is essential. |
| Databáze: | OpenAIRE |
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