Measured and GATE predicted PET-image-based activity range verification for carbon therapy: a phantom study

In-beam PET is one of the imaging-based methods for monitoring carbon therapy by reconstruction of positron-emitters produced by incident particles. The accurate Monte Carlo simulation is necessary for range verification and therapeutic dose monitoring by means of the in-beam PET. GATE is capable of performing in-beam PET imaging but very few studies assess the accuracy of activity range measured from PET imaging with GATE simulated results. In this work, we present both experimental and GATE simulation studies of in-beam PET imaging of a phantom, which is irradiated by carbon ion beam, for range verification. The experiment data is acquired at Wuwei Heavy Ion Cancer Treatment Center in Gansu, China, with a dual-head plate PET prototype. The PET prototype consists of 2 panels, each arranged in 2 × 2 matrix. Each detector block is composed of 20 × 20 LYSO crystal array coupled with the position-sensitive photomultiplier tube (HAMAMATSU H8500). A homogeneous plastic phantom is irradiated with monoenergetic 131.05 MeV and 190.19 MeV 12C ion pencil beams. The irradiation and full response of PET prototype are simulated with GATE macros. A novel mathematical model is established, which is capable of calculating and revealing the variation of the positron activity. Our focus is on the reconstructed activity ranges obtained by the experimental measurement and GATE MC prediction combined with the positron activity distribution calculation mathematical model. Results show that the reconstructed activity distribution of experimental data and GATE MC prediction are in good agreement. The measured and simulated 1D activity peak and falling edge positions are within 1.0 mm in all cases. The 20%, 50% and 80% PET peak positions predicted by GATE are close to measurements. These results indicated that it is feasible to assess the accuracy of activity range measured from the dual-head plate PET system with the modeled GATE hadron-PET simulation.

[1]  J. Kong,et al.  A design implementation of the Central Process Module for an In-Beam PET in HICTD , 2021 .

[2]  A. C. Kraan,et al.  Monitoring Proton Therapy Through in-Beam PET: An Experimental Phantom Study , 2020, IEEE Transactions on Radiation and Plasma Medical Sciences.

[3]  J. Kong,et al.  Prototype design of readout electronics for In-Beam TOF-PET of Heavy-Ion Cancer Therapy Device , 2020 .

[4]  A. Kraan,et al.  Low statistics positron activity reconstruction methods for proton therapy , 2019, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

[5]  G. Akamatsu,et al.  Comparative study of alternative Geant4 hadronic ion inelastic physics models for prediction of positron-emitting radionuclide production in carbon and oxygen ion therapy , 2019, Physics in medicine and biology.

[6]  C Gianoli,et al.  An overview of recent developments in FLUKA PET tools. , 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[7]  M. Dong,et al.  In-Beam PET Imaging in Carbon Therapy for Dose Verification , 2018, IEEE Transactions on Radiation and Plasma Medical Sciences.

[8]  Piergiorgio Cerello,et al.  INSIDE in-beam positron emission tomography system for particle range monitoring in hadrontherapy , 2016, Journal of medical imaging.

[9]  Julia Bauer,et al.  The FLUKA Code: An Accurate Simulation Tool for Particle Therapy , 2016, Front. Oncol..

[10]  V. Rosso,et al.  In-beam PET data characterization with the large area DoPET prototype , 2016 .

[11]  Yiping Shao,et al.  In-beam PET imaging for on-line adaptive proton therapy: an initial phantom study , 2014, Physics in medicine and biology.

[12]  George Loudos,et al.  A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications. , 2014, Medical physics.

[13]  H. Murayama,et al.  Monte Carlo simulation of small OpenPET prototype with 11C beam irradiation: effects of secondary particles on in-beam imaging , 2014, Physics in medicine and biology.

[14]  孙志宇,et al.  A simulation study of a dual-plate in-room PET system for dose verification in carbon ion therapy , 2014 .

[15]  C. Jianping,et al.  GATE simulation based feasibility studies of in-beam PET monitoring in ^12C beam cancer therapy , 2013 .

[16]  Zheng-guo Hu,et al.  A simulation study of a dual-plate in-room PET system for dose verification in carbon ion therapy , 2013, 1310.2469.

[17]  Irène Buvat,et al.  PET-based dose delivery verification in proton therapy: a GATE based simulation study of five PET system designs in clinical conditions , 2013, Physics in medicine and biology.

[18]  I Buvat,et al.  Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes , 2013, Physics in medicine and biology.

[19]  S. Jan,et al.  GATE Simulation of $^{12}{\rm C}$ Hadrontherapy Treatment Combined With a PET Imaging System for Dose Monitoring: A Feasibility Study , 2013, IEEE Transactions on Nuclear Science.

[20]  Yong Hyun Chung,et al.  A simulation study of a C-shaped in-beam PET system for dose verification in carbon ion therapy , 2013 .

[21]  M. Durante,et al.  Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation , 2012, Journal of radiation research.

[22]  F Verhaegen,et al.  Monte Carlo calculations of positron emitter yields in proton radiotherapy , 2012, Physics in medicine and biology.

[23]  J. Debus,et al.  Monte Carlo modeling and in-vivo imaging at the Heidelberg Ion Beam Therapy Center , 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

[24]  H Paganetti,et al.  The reliability of proton-nuclear interaction cross-section data to predict proton-induced PET images in proton therapy , 2011, Physics in medicine and biology.

[25]  K Parodi,et al.  In-beam PET monitoring of mono-energetic 16O and 12C beams: experiments and FLUKA simulations for homogeneous targets , 2009, Physics in medicine and biology.

[26]  W. Greiner,et al.  PET monitoring of cancer therapy with 3He and 12C beams: a study with the GEANT4 toolkit , 2007, Physics in medicine and biology.

[27]  Xiao Guo-qing.  Progresses of Heavy-ion Cancer Therapy in IMP , 2007 .

[28]  W. Greiner,et al.  Distributions of positron-emitting nuclei in proton and carbon-ion therapy studied with GEANT4 , 2006, Physics in medicine and biology.

[29]  Katia Parodi,et al.  The modelling of positron emitter production and PET imaging during carbon ion therapy , 2004, Physics in medicine and biology.

[30]  Katia Parodi,et al.  Charged hadron tumour therapy monitoring by means of PET , 2004 .

[31]  Katia Parodi,et al.  In-beam PET measurements of β+ radioactivity induced by proton beams , 2002 .

[32]  O Jäkel,et al.  Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization. , 2000, Physics in medicine and biology.

[33]  O Jäkel,et al.  Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization , 2000 .