Reconstruction of proton relative stopping power with a granular calorimeter detector model

Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons and heavy ions to deliver well focused doses of radiation, leveraging the Bragg peak phenomenon to target tumors while sparing healthy tissues. The Bergen pCT Collaboration aims to develop a novel pCT scanner, and accompanying reconstruction algorithms to overcome current limitations. This paper focuses on advancing the track- and image reconstruction algorithms, thereby enhancing the precision of the dose planning and reducing side effects of hadron therapy. A neural network aided track reconstruction method is presented.

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ArXiv.org
Published
2025-03-04
Primary Topic
Atomic and Subatomic Physics Research
Type
article
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Reconstruction of proton relative stopping power with a granular calorimeter detector model

Joao Seco, Lennart Volz, O.H. Odland, T. Bodova et al.
ArXiv.org
Atomic and Subatomic Physics Research
article

Reconstruction of proton relative stopping power with a granular calorimeter detector model

Joao Seco, Lennart Volz, O.H. Odland, T. Bodova, Jarle Rambo Sølie, Helge Egil Seime Pettersen, I. Tymchuk, Boris Wagner, V. Borshchov, Ganesh Jagannath Tambave, Pierluigi Piersimoni, Nicolas R. Gauger, Alexander Wiebel, Max Philip Rauch, Alexander Schilling, C. Kobdaj, B. Dudás, K. Ullaland, Sebastian Zillien, M. Chaar, R. Keidel, João Mateus Santana, G. O’Neill, Atiq Ur Rehman, Tobias Kortus, Lisa Kusch, Г. Феофилов, Christoph Garth, Steffen Wendzel, Shruti Mehendale, M. Protsenko, G. Bíró, Max Aehle, Viktor Leonhardt, S. Yang, RenZheng Xiao, Gábor Papp, A. van den Brink, H. Helstrup, A. Songmoolnak, O. S. Groettvik, Viljar Nilsen Eikeland, Mónika Varga-Kőfaragó, D. Röhrich, S. Igolkin, J. Alme, G. G. Barnaföldi, H. Yokoyama, T. Peitzmann, Zs. Jólesz, R. Ningappa
article en

Abstract

Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons and heavy ions to deliver well focused doses of radiation, leveraging the Bragg peak phenomenon to target tumors while sparing healthy tissues. The Bergen pCT Collaboration aims to develop a novel pCT scanner, and accompanying reconstruction algorithms to overcome current limitations. This paper focuses on advancing the track- and image reconstruction algorithms, thereby enhancing the precision of the dose planning and reducing side effects of hadron therapy. A neural network aided track reconstruction method is presented.

ArXiv.org
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Atomic and Subatomic Physics Research
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