Publications by authors named "Yannick Boursier"

Article Synopsis
  • - We proposed a new method for real-time monitoring of particle therapy treatments using the Prompt Gamma (PG) timing technique and Time-Of-Flight (TOF) measurements to enhance sensitivity in particle range detection even with limited counting statistics.
  • - Our approach, termed Prompt Gamma Time Imaging (PGTI), combines data from multiple detectors around a target, showing potential for millimetric sensitivity with a proton time resolution of 235 ps in low-intensity conditions.
  • - The TIARA system, a multi-channel detector we are developing, aims to optimize detection efficiency and signal-to-noise ratio through innovative design, utilizing a combination of PbF crystal and silicon photoMultiplier technologies alongside diamond-based beam monitoring.
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We propose a novel prompt-gamma (PG) imaging modality for real-time monitoring in proton therapy: PG time imaging (PGTI). By measuring the time-of-flight (TOF) between a beam monitor and a PG detector, our goal is to reconstruct the PG vertex distribution in 3D. In this paper, a dedicated, non-iterative reconstruction strategy is proposed (PGTI reconstruction).

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Computed tomography is a powerful medical imaging modality for longitudinal studies in cancer to follow neoplasia progression and evaluate anticancer therapies. Here, we report the generation of a photon-counting micro-computed tomography (PC-CT) method based on hybrid pixel detectors with enhanced sensitivity and precision of tumor imaging. We then applied PC-CT for longitudinal imaging in a clinically relevant liver cancer model, the Alb-R26 mice, and found a remarkable heterogeneity in the dynamics for tumors at the initiation phases.

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Monte Carlo simulation (MCS) plays a key role in medical applications, especially for emission tomography and radiotherapy. However MCS is also associated with long calculation times that prevent its use in routine clinical practice. Recently, graphics processing units (GPU) became in many domains a low cost alternative for the acquisition of high computational power.

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