研究目的
To develop a novel PET–Compton hybrid simultaneous imager for multi-nuclide imaging, enabling simultaneous imaging of PET and SPECT tracers such as 18F-FDG and 111In.
研究成果
The hybrid PET–Compton system successfully demonstrated simultaneous imaging of PET and SPECT tracers (18F and 111In) with good spatial resolution. The approach shows promise for medical imaging by eliminating issues like organ movement between separate scans, and future work should focus on enhancing resolution with advanced detectors.
研究不足
The spatial resolution of Compton imaging could be improved with higher-resolution detectors such as Si- or CdTe-based semiconductor detectors. The study is a proof of concept and may require further optimization for clinical applications.
1:Experimental Design and Method Selection:
The study uses a two-layer structure with thin scatterers and thick absorbers for simultaneous PET and Compton imaging. Coincidence detection is employed to classify events into PET or Compton imaging modes. Image reconstruction uses MLEM for PET and FBP for Compton imaging.
2:Sample Selection and Data Sources:
Radioisotope sources including 241Am, 57Co, 133Ba, 22Na, 111In, and 18F-FDG are used for calibration and imaging experiments.
3:List of Experimental Equipment and Materials:
GAGG scintillator arrays (2.5 mm × 2.5 mm × 9 mm absorbers and 1.5 mm scatterers), SiPM arrays (Hamamatsu MPPC S13361-3050), dTOT circuits, FPGA-based DAQ system (Xilinx Kintex 7 XC7K70T), and various gamma-ray sources.
4:5 mm × 5 mm × 9 mm absorbers and 5 mm scatterers), SiPM arrays (Hamamatsu MPPC S13361-3050), dTOT circuits, FPGA-based DAQ system (Xilinx Kintex 7 XC7K70T), and various gamma-ray sources.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Detectors are set up in pairs for coincidence measurements. Energy calibration is performed using multiple sources. Data is acquired in list mode, and events are classified based on coincidence and energy criteria for reconstruction.
5:Data Analysis Methods:
Energy spectra are analyzed with Gaussian fitting for resolution. Spatial resolution is evaluated using Gaussian fitting of intensity distributions. Image reconstruction uses MLEM for PET and FBP for Compton imaging.
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