Speakers
Description
This study addresses the clinical demand for real-time localization of Bragg peaks in heavy-ion radiotherapy, overcoming the technical limitations of conventional readout electronics such as dead time and slow response. A multi-channel electronic readout system based on application-specific integrated circuits (ASICs) was developed. By integrating the high-precision digitalization chip ADAS1134 with FPGA dynamic configuration, gigabit Ethernet real-time transmission, and adaptive host computer algorithms, a comprehensive signal processing architecture encompassing signal conditioning, analog-to-digital conversion, and data analysis was established. The system employs anti-aliasing filtering and noise-shaping technologies to achieve synchronous acquisition of weak currents (50–700 nA) across 128 channels, with a nonlinearity error below 0.8% at a sampling rate of 200 kSPS per channel. Beam tests conducted with a Bragg peak detector demonstrated that the system successfully captured characteristic Bragg peak signals at carbon-ion radiotherapy terminals with energies of 260 MeV/u and 400 MeV/u. The system achieved a range positioning accuracy of 0.35 mm and a response time of 3.5 μs, representing a two-order-of-magnitude improvement over traditional current integration methods. This advancement provides a cost-effective technical solution for particle therapy range verification and demonstrates significant clinical application value.
| Workshop topics | Front-end electronics and readout |
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