Design and performance of the ENUBET monitored neutrino beam

Autor: F. Acerbi, I. Angelis, L. Bomben, M. Bonesini, F. Bramati, A. Branca, C. Brizzolari, G. Brunetti, M. Calviani, S. Capelli, S. Carturan, M. G. Catanesi, S. Cecchini, N. Charitonidis, F. Cindolo, G. Cogo, G. Collazuol, F. Dal Corso, C. Delogu, G. De Rosa, A. Falcone, B. Goddard, A. Gola, D. Guffanti, L. Halić, F. Iacob, C. Jollet, V. Kain, A. Kallitsopoulou, B. Kliček, Y. Kudenko, Ch. Lampoudis, M. Laveder, P. Legou, A. Longhin, L. Ludovici, E. Lutsenko, L. Magaletti, G. Mandrioli, S. Marangoni, A. Margotti, V. Mascagna, N. Mauri, J. McElwee, L. Meazza, A. Meregaglia, M. Mezzetto, M. Nessi, A. Paoloni, M. Pari, T. Papaevangelou, E. G. Parozzi, L. Pasqualini, G. Paternoster, L. Patrizii, M. Pozzato, M. Prest, F. Pupilli, E. Radicioni, A. C. Ruggeri, G. Saibene, D. Sampsonidis, C. Scian, G. Sirri, M. Stipčević, M. Tenti, F. Terranova, M. Torti, S. E. Tzamarias, E. Vallazza, F. Velotti, L. Votano

Publikováno v: European Physical Journal C: Particles and Fields, Vol 83, Iss 10, Pp 1-24 (2023)

Abstract The ENUBET project is aimed at designing and experimentally demonstrating the concept of monitored neutrino beams. These novel beams are enhanced by an instrumented decay tunnel, whose detectors reconstruct large-angle charged leptons produc

Externí odkaz: https://doaj.org/article/720f193a4045454ab333032b41a2b36d

MLC tracking for lung SABR is feasible, efficient and delivers high-precision target dose and lower normal tissue dose

Autor: Doan Trang Nguyen, Alexander Podreka, Kathryn Szymura, Benjamin Harris, Vincent Caillet, Thomas Eade, Ricky O'Brien, Dasantha Jayamanne, Georgios I. Angelis, Nicholas Hardcastle, Per Rugaard Poulsen, Meegan Shepherd, Jeremy T. Booth, Carol Haddad, Paul J. Keall, Adam Briggs

Publikováno v: Booth, J, Caillet, V, Briggs, A, Hardcastle, N, Angelis, G, Jayamanne, D, Shepherd, M, Podreka, A, Szymura, K, Nguyen, D T, Poulsen, P, O'Brien, R, Harris, B, Haddad, C, Eade, T & Keall, P 2021, ' MLC tracking for lung SABR is feasible, efficient and delivers high-precision target dose and lower normal tissue dose ', Radiotherapy and Oncology, vol. 155, pp. 131-137 . https://doi.org/10.1016/j.radonc.2020.10.036

Background and purposeThe purpose of this work is to present the clinical experience from the first-in-human trial of real-time tumor targeting via MLC tracking for stereotactic ablative body radiotherapy (SABR) of lung lesions.Methods and materialsS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aefa603a2a3e05b7c52db3e61c93b819
https://doi.org/10.1016/j.radonc.2020.10.036

The ENUBET project: a monitored neutrino beam

Autor: Giulia Brunetti, F. Acerbi, I. Angelis, M. Bonesini, F. Bramati, A. Branca, C. Brizzolari, M. Calviani, S. Capelli, S. Carturan, M.G. Catanesi, S. Cecchini, N. Charitonidis, F. Cindolo, G. Collazuol, F. Dal Corso, C. Delogu, G. De Rosa, A. Falcone, B. Goddard, A. Gola, F. Iacob, C. Jollet, V. Kain, B. Klicek, Y. G. Kudenko, Ch. Lampoudis, M. Laveder, A. Longhin, L. Ludovici, E. Lutsenko, L. Magaletti, G. Mandrioli, A. Margotti, V. Mascagna, N. Mauri, L. Meazza, A. Meregaglia, M. Mezzetto, M. Nessi, A. Paoloni, M. Pari, E.G. Parozzi, L. Pasqualini, G. Paternoster, L. Patrizii, M. Pozzato, M. Prest, F. Pupilli, E. Radicioni, C. Riccio, A.C. Ruggeri, D. Samponidis, C. Scian, G. Sirri, M. Stipcevic, M. Tenti, F. Terranova, M. Torti, S.E. Tzamarias, E. Vallazza, F. Velotti, L. Votano

Publikováno v: PoS NuFact2021 (2022) 101 • Contribution to: NuFact2021, 101
Proceedings of The 22nd International Workshop on Neutrinos from Accelerators — PoS(NuFact2021)

The ENUBET project intends to reduce the flux related systematics in an accelerator neutrino beam to the 1% level by monitoring associated charged leptons produced in a narrow band meson beam. Large angle leptons from kaon decays are measured in an i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a3ff6cfb9bd530fb845eff0b97f748a

Building Blocks for Deep Learning-Based Motion Correction in PET

Autor: Roger Fulton, F. E. Enriquez-Mier-y-Teran, Georgios I. Angelis, O. Brandt, Andre Kyme, Steven R. Meikle

Publikováno v: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Rigid motion correction remains an important challenge in PET. Convolutional Neural Networks (CNNs) have recently matched or outperformed traditional solutions for some medical imaging problems but are largely unexplored for PET motion correction. A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::485987f09926146b4fa1db751958b4cb
https://doi.org/10.1109/nss/mic42677.2020.9508099

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