Investigation of the FastIC+ ASIC for timing characterisation of heterostructured scintillators and BGO
Year: 2026
Type: article
Abstract: BGO and EJ-232-based heterostructured scintillators offer a combination of high detection efficiency and good timing performance by combining the two materials in a stack of alternating micro-meter thick layers. This makes them interesting for Time Of Flight Positron Emission Tomography (TOF-PET) where γ-detection efficiency and the Coincidence Time Resolution (CTR) are key parameters. After the γ-ray is absorbed in the BGO layer, a recoil electron is emitted, which can deposit energy in both materials. This leads to an additional faster light emission from the plastic scintillator which improves the timing capabilities of the detector. This process is called energy sharing and a key challenge lies in the fact that the amount of energy deposited in each material is random. Therefore, an event classification is required to account for the different event types produced, which increases the demands for data processing and sensor readout capabilities compared to detectors that make use of bulk crystals. This makes their implementation in scalable readout systems which are needed for PET imaging challenging. In this work we demonstrate a proof-of-concept event classification method using the readout features of the scalable FastIC+ ASIC. We also compared the timing properties of the heterostructured scintillators to bulk BGO crystals. For 20 mm heterostructured samples, the overall CTR was 390 ± 20 ps and 212 ± 11 ps for the events with energy deposition above 50 keV in EJ-232. In comparison, 20 mm bulk BGO samples achieved a CTR of 413 ± 21 ps, while 3 mm BGO samples reached a CTR of 265 ± 13 ps. The readout system also enabled the use of prompt Cherenkov photons via rise-time readout to further enhance the timing performance.
Source: Journal of Instrumentation
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,290
OpenAlex ID: W7128031117
