Quantitative real-time measurements of dose and dose rate in UHDR proton pencil beams via scintillation imaging system

Megan Clark; Joseph Harms; Roman Vasyltsiv; Austin Sloop; Jakub Kozelka; Bill Simon; Rongxiao Zhang; David Gladstone; Petr Bruza

arXiv · 2312.14841

Quantitative real-time measurements of dose and dose rate in UHDR proton pencil beams via scintillation imaging system

Megan Clark·Joseph Harms·Roman Vasyltsiv·Austin Sloop·Jakub Kozelka·Bill Simon·Rongxiao Zhang·David Gladstone·Petr Bruza

View original source ↗Read source document ↗Export metadata ↓

Abstract

Purpose: Ultra-fast scintillation imaging has been shown to provide a unique tool for spatio-temporal dosimetry of conventional cyclotron and synchrocyclotron pencil beam scanning (PBS) deliveries, indicating the potential use for characterization of ultra-UHDR PBS proton beams. The goal of this work is to introduce this novel concept and demonstrate its capabilities in recording complex dose rate maps at FLASH-capable proton beam currents, as compared to log-based dose rate calculation, internally developed UHDR beam simulation, and a fast point detector (EDGE diode). Methods: The light response of a scintillator sheet located at isocenter and irradiated by pencil beam scanning proton fields (40-210 nA, 250 MeV) was imaged by an ultra-fast iCMOS camera at 4.5-12 kHz sampling frequency. Image intensity was calibrated to dose with film and the recorded spatio-temporal data was compared to a PPC05 ion chamber, log-based reconstruction, and EDGE diode. Calculation of full-field mean and PBS dose rate maps were used to highlight the importance of high resolution, full-field information in UHDR studies. Results: Camera response was linear with dose (R2 = 0.997) and current (R2 = 0.98) in the range from 2-22 Gy and 40-210 nA, respectively, when compared to ion chamber readings. Planned and delivered spot positions agreed within 0.2+/-0.1 mm and total irradiation time agreed within 0.2+/-0.2 ms when compared with the log files, indicating the high concurrent spatial and temporal resolution. For all deliveries, the PBS dose rate measured at the diode location agreed between the imaging and the diode within 3+/-2% and with the simulation within 5+/-3%. Conclusion: The high linearity and various spatiotemporal metric reporting capabilities confirm the continued use of this camera system for UHDR beam characterization, especially for spatially resolved dose rate information.

Explore related subjects

physics.med-ph

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Megan Clark, Joseph Harms, Roman Vasyltsiv, Austin Sloop, Jakub Kozelka, Bill Simon, Rongxiao Zhang, David Gladstone, Petr Bruza. 2023-12-22. Quantitative real-time measurements of dose and dose rate in UHDR proton pencil beams via scintillation imaging system. https://arxiv.org/abs/2312.14841

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Prediction of biological radiation effects based on ionization clusters (nanodosimetry)

This article reviews approaches that link the formation of ionization clusters in nanometric volumes to radiobiological effectiveness. The corresponding models were developed as the field of nanodosimetry developed. Some address early biological radiation effects, such as DNA damage, while most aim to predict cell survival or inactivation. The models also differ in the nanodosimetric quantities considered, with many based on the probability distribution of ionization cluster formation in a single target. Some models account for the synergistic effects of pairs of ionization clusters formed in different targets. Several models feature macroscopic aggregation frameworks based on particle fluence, which are proposed for use in radiotherapy treatment planning, particularly in ion-beam radiotherapy. The models are presented here using harmonized terminology and notation for nanodosimetric quantities. An extension of the conceptual framework of nanodosimetry is also discussed. This extension transitions from a target-centered description to a track-centered description. It also introduces nanodosimetry-based analogs of dosimetric concepts, such as dose and linear energy transfer. This paper traces and summarizes the historical development of nanodosimetry-based biological effect models and discusses conceptual aspects of the models to reveal their underlying assumptions and the extent to which they are mechanistic or merely elucidate correlations. Eventually, an attempt is made to identify the key open questions in this field that still need to be addressed.

physics.med-ph↗

arXiv2026

Contextual Cellular Growth (ConCeG) of neural cells for realistic grey matter tissue generation for diffusion MRI simulations

Accurate interpretation of diffusion magnetic resonance imaging (dMRI) signals in grey matter (GM) remains challenging due to the complex, heterogeneous, and densely packed cellular environment. Numerical phantoms provide a controlled framework for investigating the relationship between microstructure and diffusion signals, yet existing approaches often lack the morphological realism and multi-cellular organisation required to faithfully represent GM tissue. In this work, we introduce Contextual Cellular Growth (ConCeG), a generative framework for creating individual cells or constructing dense, three-dimensional, multi-cellular GM substrates informed by real neuronal and glial morphologies. The method combines topological neuron synthesis with a spatially constrained growth network, allowing for the controlled generation of heterogeneous cellular environments with realistic intra- and extracellular compartments. Synthetic cells are generated using morphological and topological characteristics derived from biological reconstructions. We validate the framework through comparisons of structural features with real cellular data, demonstrating strong agreement in branch order, length, angle, and tortuosity distributions. Power spectrum analysis further shows that both intracellular compartments reproduce the spatial correlations observed in biological tissue. Together, these results show ConCeG provides a biologically grounded framework for generating grey matter substrates suitable for large scale diffusion MRI simulation.

physics.med-ph↗

arXiv2026

Magnetic Field of Firing Neuron in Humans: Measurable by Quantum Sensing MRI?

Firing neurons generate action potentials that propagate along axons to transmit signals supporting cognitive functions. These electrical currents generate magnetic fields, yet direct detection of these neuronal magnetic fields by MRI remains elusive. This Mini Review investigates why this goal has been proven difficult to achieve and whether an emerging approach, quantum sensing MRI, can overcome the challenge.

physics.med-ph↗