This work presents the development and experimental validation of a ionacoustic detector that uses a multi-channel sensor, a dedicated ASIC in 28nm CMOS and hardware DSP to reduce the input-referred noise power by 1-2 orders of magnitude compared to state of the art ionacoustic detectors. The most interesting application of the ionacoustic technique is the real-time monitoring with sub-millimeter precision of hadron therapy treatments, but the main limitation of current detectors lies in their high latency and noise power, not compatible with clinical treatments. The hereby presented High-Resolution Proton Sound Detector exploits the parallel acquisition and processing of 64 channels to obtain a 2D acoustic image of the source with 256x256 pixel resolution, 140 fps and 70 mPaRMS input-referred noise, resulting in 34 dB SNR with 0.8 Gy dose deposition.

Vallicelli, E., Cosmi, M., Tambaro, M., Baschirotto, A., De Matteis, M. (2022). 140 Frames-per-Second Ionoacoustic Imaging Detector for Real-Time Particle Therapy Monitoring. In ICECS 2022 - 29th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. [10.1109/ICECS202256217.2022.9971077].

140 Frames-per-Second Ionoacoustic Imaging Detector for Real-Time Particle Therapy Monitoring

Vallicelli, EA;Tambaro, M;Baschirotto, A;De Matteis, M
2022

Abstract

This work presents the development and experimental validation of a ionacoustic detector that uses a multi-channel sensor, a dedicated ASIC in 28nm CMOS and hardware DSP to reduce the input-referred noise power by 1-2 orders of magnitude compared to state of the art ionacoustic detectors. The most interesting application of the ionacoustic technique is the real-time monitoring with sub-millimeter precision of hadron therapy treatments, but the main limitation of current detectors lies in their high latency and noise power, not compatible with clinical treatments. The hereby presented High-Resolution Proton Sound Detector exploits the parallel acquisition and processing of 64 channels to obtain a 2D acoustic image of the source with 256x256 pixel resolution, 140 fps and 70 mPaRMS input-referred noise, resulting in 34 dB SNR with 0.8 Gy dose deposition.
paper
Analog Integrated Circuits; Circuits and Systems for Biomedical Applications; Radiation Therapy;
English
29th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2022 - 24 October 2022 through 26 October 2022
2022
ICECS 2022 - 29th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
9781665488235
2022
none
Vallicelli, E., Cosmi, M., Tambaro, M., Baschirotto, A., De Matteis, M. (2022). 140 Frames-per-Second Ionoacoustic Imaging Detector for Real-Time Particle Therapy Monitoring. In ICECS 2022 - 29th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. [10.1109/ICECS202256217.2022.9971077].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/440678
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