Please note! All times in the online program are given in New York - America (GMT -04:00) times!
Jul 6, 2022, 6:55:09 PM
Jul 7, 2022, 7:55:09 AM
Click on an contribution to preview the abstract content.
H.G. Kang1, L. Maigne2
1 National Institutes for Quantum and Radiological Science and Technology (QST), Advanced Nuclear Medicine Science, Chiba, Japan
Lydia MAIGNE who is a spoke person of the openGATE collaboration will briefly introduce the current GATE activities and upcoming training opportunities.
GATE (Geant4 Application for Tomographic Emission) is an open-source Monte Carlo simulation software for the modeling of various medical imaging devices such as PET, SPECT, Compton camera, CT and optical system. The GATE has been playing an important role for design and optimization of various clinical and/or preclinical molecular imaging systems. Moreover, the GATE can provide accurate dose information for external and/or internal radiotherapy thereby paving a personalized dosimetry. In this workshop, the applications of GATE for advanced medical imaging and radiotherapy will be presented. We would like to encourage all GATE users to participate in the workshop for a fruitful discussion about the current and future of the GATE.
Artificial Intelligence approaches for Monte Carlo simulation using GATE (#1576)
J. Bert1, D. Sarrut2
1 INSERM, LaTIM, Brest, France
For about 50 years, Monte Carlo (MC) has evolved towards more generic codes, faster algorithms and more accurate physical databases. Numerous Variance Reduction Techniques (VRT) and approximate VRT (aVRT), which modified MC algorithms to improve efficiency, were proposed in the past and recently. However, the increasing need for detailed and accurate physical processing within imaging detectors and patient anatomy still leads to long simulations times. Although dedicated MC, such as the ones in certain TPS, can be very fast, the generic codes that are at the basis of medical physics research are still slow. However recent developments on Artificial Intelligence (AI), especially in Neural Network, open new ways to improve MC. The aim is to propose the next generation of aVRT methods allowing fast and generic simulations in medical physics without the necessity of powerful computing infrastructures. Recent works that combines the use of GATE and a neural network to improve MC simulations will be presented. For examples: train a neural network that model detector response in SPECT imaging via angular response function, or model phase spaces of particles with Generative Adversarial Network (GAN) for Linac or SPECT simulations. Those examples are already available in GATE though pytorch framework. Finally, current and future work on AI and MC using GATE will be briefly presented.
Keywords: Monte Carlo, GATE, Artificial Intelligence
Optical Simulation for TOF PET (#1564)
E. Roncali1, C. Trigila1, X. He1, G. Arino-Estrada1
1 University of California, Davis, Department of Biomedical Engineering, Davis, California, United States of America
AcknowledgmentThis work is funded by NIH grant R01EB027130
Keywords: TOF PET, simulation, radiation detector, GATE, Cerenkov
Design of a small animal DOI PET scanner using GATE (#1563)
H.G. Kang1, H. Tashima1, T. Yamaya1
1 National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan
Positron emission tomography (PET) is one of the powerful in vivo molecular imaging devices to explore the functional and biological mechanisms of rodent models. In particular, the mouse brain PET imaging has been playing an important role for the translational research of Alzheimer diseases. For small animal PET, spatial resolution is one of the important parameters to provide the information of radiopharmaceuticals distributions inside mouse brain with high quantification accuracy. Moreover, the depth-of-interaction (DOI) information is essential to minimize the parallax error so as to preserve the spatial resolution at the periphery of the field-of-view. Here we present the design of a small animal DOI PET scanner with GATE to achieve submillimeter resolution. The proposed small animal PET scanner has 53 mm inner diameter and 11 mm axial FOV. The GATE simulation results show a good agreement with those of experimental results in terms of spatial resolution and sensitivity. In conclusion, GATE can be used for the design of a high-resolution small animal DOI PET scanner.
Keywords: GATE, PET, DOI
GATE Compton camera module (CCMod) (#1577)
1 CREATIS UMR 5220 / CNRS, Lyon, France
Compton cameras are gamma-ray imaging devices based on Compton scattering kinematics. They have been proposed for a wide variety of applications such as medical imaging, nuclear decommissioning, or homeland security. Since Monte Carlo simulations play an essential role in the design and optimization of such systems, a versatile GATE Compton camera module (CCMod) was developed  which is officially available from version 9.0 in the open-source GATE/Geant4 platform . This module provides a framework where different Compton camera configurations can be simulated and facilitates comparison between the performance of different prototypes in medical experimental settings such as hadron therapy monitoring or nuclear medicine. A description of this recent extension of GATE together with some examples of simulations of Compton camera prototypes will be given.
AcknowledgmentThis work was performed within the framework of the Labex PRIMES (ANR-11-LABX-0063).
Keywords: Compton Camera, GATE, Monte Carlo simulations
Radiotherapy with GATE-RTion (#1574)
C. Winterhalter1, 2, A. Aitkenhead3, 4, A. Lomax1, 2, D. C. Weber1, 5, L. Grevillot6
1 Paul Scherrer Institute, Centre for Proton Therapy, Villigen PSI, Switzerland
GATE-RTion (Grevillot et al. Med. Phys. 47.8 (2020)) is a dedicated, long-term version of GATE/Geant4 for proton and carbon pencil beam scanning radiotherapy. Additionally, it includes a set of tools to facilitate institute specific Monte Carlo setups for clinical use, and a set of validation tests for both the implemented source and the dose scoring. As such, with GATE-RTion, different centres can use the same settings for their respective Monte Carlo simulation frameworks, enabling enhanced collaboration for clinical and/or research-based radiotherapy applications.
In this presentation, a selected set of projects based on GATE-RTion will be highlighted to demonstrate the versatility of this toolkit:
Keywords: GATE, GATE-RTion, Radiotherapy
Radiation biology using GATE (#1575)
L. Maigne1, Y. Ali2, M. Beuve2, K. Chatzipapas3, G. R. Fois1, G. Kagadis4, J.M. Létang6, G. Loudos3, P. Papadimitroulas3, N. Papanikolaou5, E. Testa2
1 University Clermont Auvergne, Laboratoire de Physique de Clermont UMR6533 CNRS IN2P3, Aubière, France
The GATE platform has come into widespread use in the field of imaging (PET, SPECT, CT) and radiation therapy; it is now used in the field of radiation biology to predict cell survivals after radiation in many different applications, from radiation enhancement with nanoparticles to the evaluation of the biological dose in hadrontherapy treatments. The GATE platform encompasses the Geant4-DNA physics lists and can therefore be used to tackle energy depositions to cells and sub-cellular cell compartments. It has recently been optimized, with the novel BioDose actor, in order to calculate biological doses for different cell types in the case of light ion beam therapy through the usage of biophysical models (mMKM, NanOx) based on Monte Carlo Track Structure codes like Geant4-DNA. Other tools are currently being developed to be coupled to the GATE platform; those tools like the IDDRRA (https://3dmi.upatras.gr/IDDRRA/) and the CPOP platforms (cpop.in2p3.fr) can model DNA molecules or 3D cell populations (spheroids), simulate radiation, and then analyze the simulation outcomes in terms of Single Strand Breaks (SSB), Double Strand Breaks (DSB), Cluster Damage Sites (CDS) and energy depositions.
Keywords: radiation biology, GATE, Geant4-DNA, biological dose