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. 2022 Jan 23;8(2):21.
doi: 10.3390/jimaging8020021.

Monte Carlo Characterization of the Trimage Brain PET System

Affiliations

Monte Carlo Characterization of the Trimage Brain PET System

Luigi Masturzo et al. J Imaging. .

Abstract

The TRIMAGE project aims to develop a brain-dedicated PET/MR/EEG (Positron Emission Tomography/Magnetic Resonance/Electroencephalogram) system that is able to perform simultaneous PET, MR and EEG acquisitions. The PET component consists of a full ring with 18 sectors. Each sector includes three square detector modules based on dual sstaggered LYSO:Ce matrices read out by SiPMs. Using Monte Carlo simulations and following NEMA (National Electrical Manufacturers Association) guidelines, image quality procedures have been applied to evaluate the performance of the PET component of the system. The performance are reported in terms of spatial resolution, uniformity, recovery coefficient, spill over ratio, noise equivalent count rate (NECR) and scatter fraction. The results show that the TRIMAGE system is at the top of the current brain PET technologies.

Keywords: Monte Carlo characterization; NEMA; PET/MR; TRIMAGE project; brain PET.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(Left) Simulated view of TRIMAGE full detector ring. (Right) Schematic view of a sector.
Figure 2
Figure 2
Schematic diagram of the acquisition pipeline from the ASICs to the host PC.
Figure 3
Figure 3
Top and transverse view of simulated phantom. Near each rod the diameter of the rod is indicated (in black).
Figure 4
Figure 4
(Left) Coincidence energy spectrum. (Right) Sensitivity values across the axial direction for different energy windows.
Figure 5
Figure 5
Reconstructed Derenzo Phantom at the 100th iteration number. (Upper Left) Reconstructed slice of the phantom. (Upper Right) Line profile of the 1.8 mm rods. (Lower Left) Line profile of the 2.3 mm rods. (Lower Right) Phantom ground truth.
Figure 6
Figure 6
Reconstructed images at the 100th iteration. (a,c) are the non regularized images, while (b,d) are the regularized images.
Figure 7
Figure 7
In both images, the NECR data, true, scatter and random events are reported. A red-dashed line is traced between NECR points. (Top) NECR for the rat-like phantom. (Bottom) NECR for the head-like phantom.

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