Speaker
Description
We characterized the performance of a time-of-flight positron emission tomography (TOF-PET) detector based on our scintillation photon counting technique. The detector consists of a 32.2 × 32.2 × 20 mm3 monolithic Fast LGSO crystal, an 8 × 8 array of Broadcom NUV-MT silicon photomultipliers (SiPMs), and a 64-channel low-noise, high-frequency (LNHF) electronics architecture. This detector design enables unique timestamping of multiple early arriving scintillation photons, which greatly improves the precision of interaction time estimation. Continuous 3D event positioning capability is another benefit of monolithic detectors, allowing correction for the transit time of scintillation photons. Timing and energy signal waveforms were sampled using two CAEN V1742 and one V1740 digitizers. For 3D event positioning, we performed 1D calibration and used convolutional neural networks (CNNs) to estimate X, Y, and Z from 8 × 8 energy signal amplitudes. The measured positioning resolution was 1.93 × 1.92 × 2.32 mm3. For event timing, maximum-likelihood interaction time estimation (MLITE) was applied to the 8 × 8 timing signal leading edges, achieving a preliminary coincidence time resolution (CTR) of 141 ps with a reference detector. The latest results using an optimized readout configuration will be presented.
| Track | FTMI |
|---|---|
| Presentation type | Oral |