Literature DB >> 28195562

Requirements for a Compton camera for in vivo range verification of proton therapy.

H Rohling1, M Priegnitz, S Schoene, A Schumann, W Enghardt, F Hueso-González, G Pausch, F Fiedler.   

Abstract

To ensure the optimal outcome of proton therapy, in vivo range verification is highly desired. Prompt γ-ray imaging (PGI) is a possible approach for in vivo range monitoring. For PGI, dedicated detection systems, e.g. Compton cameras, are currently under investigation. The presented paper deals with substantial requirements regarding hardware and software that a Compton camera used in clinical routine has to meet. By means of GEANT4 simulations, we investigate the load on the detectors and the percentage of background expected in a realistic irradiation and we simulate γ-ray detections subsequently used as input data for the reconstruction. By reconstructing events from simulated sources of well-defined geometry, we show that large-area detectors are favourable. We investigate reconstruction results in dependence of the number of events. Finally, an end-to-end test for a realistic patient scenario is presented: starting with a treatment plan, the γ-ray emissions are calculated, the detector response is modelled, and the image reconstruction is performed. By this, the complexity of the system is shown, and requirements and limitations regarding precision and costs are determined.

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Year:  2017        PMID: 28195562     DOI: 10.1088/1361-6560/aa6068

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Compact Method for Proton Range Verification Based on Coaxial Prompt Gamma-Ray Monitoring: a Theoretical Study.

Authors:  F Hueso-González; T Bortfeld
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2019-07-23

Review 2.  Compton imaging for medical applications.

Authors:  Hideaki Tashima; Taiga Yamaya
Journal:  Radiol Phys Technol       Date:  2022-07-22

3.  A full-scale clinical prototype for proton range verification using prompt gamma-ray spectroscopy.

Authors:  Fernando Hueso-González; Moritz Rabe; Thomas A Ruggieri; Thomas Bortfeld; Joost M Verburg
Journal:  Phys Med Biol       Date:  2018-09-17       Impact factor: 3.609

4.  3D prompt gamma imaging for proton beam range verification.

Authors:  E Draeger; D Mackin; S Peterson; H Chen; S Avery; S Beddar; J C Polf
Journal:  Phys Med Biol       Date:  2018-01-30       Impact factor: 3.609

5.  Multi-modal 3D imaging of radionuclides using multiple hybrid Compton cameras.

Authors:  Akihisa Omata; Miho Masubuchi; Nanase Koshikawa; Jun Kataoka; Hiroki Kato; Atsushi Toyoshima; Takahiro Teramoto; Kazuhiro Ooe; Yuwei Liu; Keiko Matsunaga; Takashi Kamiya; Tadashi Watabe; Eku Shimosegawa; Jun Hatazawa
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.996

6.  Towards machine learning aided real-time range imaging in proton therapy.

Authors:  Jorge Lerendegui-Marco; Javier Balibrea-Correa; Víctor Babiano-Suárez; Ion Ladarescu; César Domingo-Pardo
Journal:  Sci Rep       Date:  2022-02-17       Impact factor: 4.379

7.  Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy.

Authors:  Jerimy C Polf; Carlos A Barajas; Stephen W Peterson; Dennis S Mackin; Sam Beddar; Lei Ren; Matthias K Gobbert
Journal:  Front Phys       Date:  2022-04-11

8.  A New Method to Reconstruct in 3D the Emission Position of the Prompt Gamma Rays following Proton Beam Irradiation.

Authors:  Costanza M V Panaino; Ranald I Mackay; Karen J Kirkby; Michael J Taylor
Journal:  Sci Rep       Date:  2019-12-11       Impact factor: 4.379

  8 in total

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