Study of a novel inverted collimator concept for prompt-gamma-based range verification in proton therapy using a hybrid simulation approach

Abstract Objective Prompt-gamma imaging is a promising technique for in-situ range verification during proton therapy, with the potential to reduce range uncertainties. Current prompt-gamma cameras typically rely on mechanical collimators, among which the knife-edge slit (KES) and multi-parallel slit (MPS) collimators are the two most widely studied concepts. In this work, we propose a novel inverted (INV) collimator concept that uses a single bar of high-density material to cast a gamma-ray shadow onto the central region of a pixelated scintillation detector. In addition to advantageous properties such as a high efficiency and a large field of view, the INV collimator also features a significantly reduced weight compared to the KES and MPS collimators. Approach We optimized and compared the different collimator designs with respect to their simulated statistical range retrieval precision. To overcome the computational time limitations associated with full Monte Carlo simulations, we developed a new hybrid simulation tool based on a dedicated fixed-ray calculation of the collimator combined with precalculated Monte Carlo simulations of prompt-gamma emission and detection. This approach enables rapid parameter optimization while incorporating all experimentally relevant effects, such as the detector spectral response and an empirical neutron background. Main results We present optimized collimator geometries for the MPS, KES, and the novel INV collimator. The INV collimator achieves a statistical range retrieval precision (2σ) of 2.2 mm at a proton beam energy of 100 MeV and 2.4 mm at 150 MeV for 10 8 protons irradiating a homogeneous tissue-equivalent phantom, demonstrating performance comparable to the optimized KES design. In addition, we present a first experimental validation of the INV collimator concept at the CNAO hadron therapy facility in Pavia, Italy, demonstrating agreement between the hybrid simulation and measurements. Significance These results suggest that the INV collimator is a promising concept for future prompt-gamma cameras, offering competitive performance and facilitating clinical implementation due to its reduced device weight.

Authors

Institutions

Publication Details

Journal
Physics in Medicine and Biology
Published
2026-09-15
DOI
https://doi.org/10.1088/1361-6560/aea7f1
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Study of a novel inverted collimator concept for prompt-gamma-based range verification in proton therapy using a hybrid simulation approach

M. Pullia, D. Mazzucconi, Marco Carminati, D. Bortot et al.
Physics in Medicine and Biology
Radiation Therapy and Dosimetry
article

Study of a novel inverted collimator concept for prompt-gamma-based range verification in proton therapy using a hybrid simulation approach

M. Pullia, D. Mazzucconi, Marco Carminati, D. Bortot, G. Borghi, Andrea Forgione, K. Urban, Martina Piroddi, Christian Riboldi, Letizia Santini, Emma Sofia Bellotti, Carlo Fiorini
article en

Abstract

Abstract Objective Prompt-gamma imaging is a promising technique for in-situ range verification during proton therapy, with the potential to reduce range uncertainties. Current prompt-gamma cameras typically rely on mechanical collimators, among which the knife-edge slit (KES) and multi-parallel slit (MPS) collimators are the two most widely studied concepts. In this work, we propose a novel inverted (INV) collimator concept that uses a single bar of high-density material to cast a gamma-ray shadow onto the central region of a pixelated scintillation detector. In addition to advantageous properties such as a high efficiency and a large field of view, the INV collimator also features a significantly reduced weight compared to the KES and MPS collimators. Approach We optimized and compared the different collimator designs with respect to their simulated statistical range retrieval precision. To overcome the computational time limitations associated with full Monte Carlo simulations, we developed a new hybrid simulation tool based on a dedicated fixed-ray calculation of the collimator combined with precalculated Monte Carlo simulations of prompt-gamma emission and detection. This approach enables rapid parameter optimization while incorporating all experimentally relevant effects, such as the detector spectral response and an empirical neutron background. Main results We present optimized collimator geometries for the MPS, KES, and the novel INV collimator. The INV collimator achieves a statistical range retrieval precision (2σ) of 2.2 mm at a proton beam energy of 100 MeV and 2.4 mm at 150 MeV for 10 8 protons irradiating a homogeneous tissue-equivalent phantom, demonstrating performance comparable to the optimized KES design. In addition, we present a first experimental validation of the INV collimator concept at the CNAO hadron therapy facility in Pavia, Italy, demonstrating agreement between the hybrid simulation and measurements. Significance These results suggest that the INV collimator is a promising concept for future prompt-gamma cameras, offering competitive performance and facilitating clinical implementation due to its reduced device weight.

Physics in Medicine and Biology
National Center for Oncological Hadrontherapy (IT), Fondazione per Adroterapia Oncologica (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 12%
Radiation Therapy and Dosimetry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.