Standard

Reconstruction of proton relative stopping power with a granular calorimeter detector model. / Aehle, M.; Alme, J.; Barnaföldi, G. G.; Bíró, G.; Bodova, T.; Borshchov, V.; Brink, A. van den; Chaar, M.; Dudás, B.; Eikeland, V.; Feofilov, G.; Garth, C.; Gauger, N. R.; Grøttvik, O.; Helstrup, H.; Igolkin, S.; Jólesz, Z.; Keidel, R.; Kobdaj, C.; Kortus, T.; Kusch, L.; Leonhardt, V.; Mehendale, S.; Mulawade, R. Ningappa; Odland, O. H.; O’Neill, G.; Papp, G.; Peitzmann, T.; Pettersen, H. E. S.; Piersimoni, P.; Protsenko, M. P.; Rauch, M.; Rehman, A. Ur; Richter, M.; Röhrich, D.; Santana, J.; Schilling, A.; Seco, J.; Songmoolnak, A.; Sølie, J. Rambo; Tambave, G.; Tymchuk, I.; Ullaland, K.; Varga-Kőfaragó, M.; Volz, L.; Wagner, B.; Wendzel, S.; Wiebel, A.; Xiao, R.; Yang, S.; Yokoyama, H.; Zillien, S.

в: International Journal of Modern Physics A, Том 40, № 21, 2542008, 30.07.2025.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Aehle, M, Alme, J, Barnaföldi, GG, Bíró, G, Bodova, T, Borshchov, V, Brink, AVD, Chaar, M, Dudás, B, Eikeland, V, Feofilov, G, Garth, C, Gauger, NR, Grøttvik, O, Helstrup, H, Igolkin, S, Jólesz, Z, Keidel, R, Kobdaj, C, Kortus, T, Kusch, L, Leonhardt, V, Mehendale, S, Mulawade, RN, Odland, OH, O’Neill, G, Papp, G, Peitzmann, T, Pettersen, HES, Piersimoni, P, Protsenko, MP, Rauch, M, Rehman, AU, Richter, M, Röhrich, D, Santana, J, Schilling, A, Seco, J, Songmoolnak, A, Sølie, JR, Tambave, G, Tymchuk, I, Ullaland, K, Varga-Kőfaragó, M, Volz, L, Wagner, B, Wendzel, S, Wiebel, A, Xiao, R, Yang, S, Yokoyama, H & Zillien, S 2025, 'Reconstruction of proton relative stopping power with a granular calorimeter detector model', International Journal of Modern Physics A, Том. 40, № 21, 2542008. https://doi.org/10.1142/s0217751x25420084

APA

Aehle, M., Alme, J., Barnaföldi, G. G., Bíró, G., Bodova, T., Borshchov, V., Brink, A. V. D., Chaar, M., Dudás, B., Eikeland, V., Feofilov, G., Garth, C., Gauger, N. R., Grøttvik, O., Helstrup, H., Igolkin, S., Jólesz, Z., Keidel, R., Kobdaj, C., ... Zillien, S. (2025). Reconstruction of proton relative stopping power with a granular calorimeter detector model. International Journal of Modern Physics A, 40(21), [2542008]. https://doi.org/10.1142/s0217751x25420084

Vancouver

Aehle M, Alme J, Barnaföldi GG, Bíró G, Bodova T, Borshchov V и пр. Reconstruction of proton relative stopping power with a granular calorimeter detector model. International Journal of Modern Physics A. 2025 Июль 30;40(21). 2542008. https://doi.org/10.1142/s0217751x25420084

Author

Aehle, M. ; Alme, J. ; Barnaföldi, G. G. ; Bíró, G. ; Bodova, T. ; Borshchov, V. ; Brink, A. van den ; Chaar, M. ; Dudás, B. ; Eikeland, V. ; Feofilov, G. ; Garth, C. ; Gauger, N. R. ; Grøttvik, O. ; Helstrup, H. ; Igolkin, S. ; Jólesz, Z. ; Keidel, R. ; Kobdaj, C. ; Kortus, T. ; Kusch, L. ; Leonhardt, V. ; Mehendale, S. ; Mulawade, R. Ningappa ; Odland, O. H. ; O’Neill, G. ; Papp, G. ; Peitzmann, T. ; Pettersen, H. E. S. ; Piersimoni, P. ; Protsenko, M. P. ; Rauch, M. ; Rehman, A. Ur ; Richter, M. ; Röhrich, D. ; Santana, J. ; Schilling, A. ; Seco, J. ; Songmoolnak, A. ; Sølie, J. Rambo ; Tambave, G. ; Tymchuk, I. ; Ullaland, K. ; Varga-Kőfaragó, M. ; Volz, L. ; Wagner, B. ; Wendzel, S. ; Wiebel, A. ; Xiao, R. ; Yang, S. ; Yokoyama, H. ; Zillien, S. / Reconstruction of proton relative stopping power with a granular calorimeter detector model. в: International Journal of Modern Physics A. 2025 ; Том 40, № 21.

BibTeX

@article{44253f7c34c3469ab495701ac6cf3ebd,
title = "Reconstruction of proton relative stopping power with a granular calorimeter detector model",
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.",
keywords = "Hadron therapy, image reconstruction, machine learning, proton computed tomography",
author = "M. Aehle and J. Alme and Barnaf{\"o}ldi, {G. G.} and G. B{\'i}r{\'o} and T. Bodova and V. Borshchov and Brink, {A. van den} and M. Chaar and B. Dud{\'a}s and V. Eikeland and G. Feofilov and C. Garth and Gauger, {N. R.} and O. Gr{\o}ttvik and H. Helstrup and S. Igolkin and Z. J{\'o}lesz and R. Keidel and C. Kobdaj and T. Kortus and L. Kusch and V. Leonhardt and S. Mehendale and Mulawade, {R. Ningappa} and Odland, {O. H.} and G. O{\textquoteright}Neill and G. Papp and T. Peitzmann and Pettersen, {H. E. S.} and P. Piersimoni and Protsenko, {M. P.} and M. Rauch and Rehman, {A. Ur} and M. Richter and D. R{\"o}hrich and J. Santana and A. Schilling and J. Seco and A. Songmoolnak and S{\o}lie, {J. Rambo} and G. Tambave and I. Tymchuk and K. Ullaland and M. Varga-K{\H o}farag{\'o} and L. Volz and B. Wagner and S. Wendzel and A. Wiebel and R. Xiao and S. Yang and H. Yokoyama and S. Zillien",
note = "doi: 10.1142/S0217751X25420084",
year = "2025",
month = jul,
day = "30",
doi = "10.1142/s0217751x25420084",
language = "English",
volume = "40",
journal = "International Journal of Modern Physics A",
issn = "0217-751X",
publisher = "WORLD SCIENTIFIC PUBL CO PTE LTD",
number = "21",

}

RIS

TY - JOUR

T1 - Reconstruction of proton relative stopping power with a granular calorimeter detector model

AU - Aehle, M.

AU - Alme, J.

AU - Barnaföldi, G. G.

AU - Bíró, G.

AU - Bodova, T.

AU - Borshchov, V.

AU - Brink, A. van den

AU - Chaar, M.

AU - Dudás, B.

AU - Eikeland, V.

AU - Feofilov, G.

AU - Garth, C.

AU - Gauger, N. R.

AU - Grøttvik, O.

AU - Helstrup, H.

AU - Igolkin, S.

AU - Jólesz, Z.

AU - Keidel, R.

AU - Kobdaj, C.

AU - Kortus, T.

AU - Kusch, L.

AU - Leonhardt, V.

AU - Mehendale, S.

AU - Mulawade, R. Ningappa

AU - Odland, O. H.

AU - O’Neill, G.

AU - Papp, G.

AU - Peitzmann, T.

AU - Pettersen, H. E. S.

AU - Piersimoni, P.

AU - Protsenko, M. P.

AU - Rauch, M.

AU - Rehman, A. Ur

AU - Richter, M.

AU - Röhrich, D.

AU - Santana, J.

AU - Schilling, A.

AU - Seco, J.

AU - Songmoolnak, A.

AU - Sølie, J. Rambo

AU - Tambave, G.

AU - Tymchuk, I.

AU - Ullaland, K.

AU - Varga-Kőfaragó, M.

AU - Volz, L.

AU - Wagner, B.

AU - Wendzel, S.

AU - Wiebel, A.

AU - Xiao, R.

AU - Yang, S.

AU - Yokoyama, H.

AU - Zillien, S.

N1 - doi: 10.1142/S0217751X25420084

PY - 2025/7/30

Y1 - 2025/7/30

N2 - 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.

AB - 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.

KW - Hadron therapy

KW - image reconstruction

KW - machine learning

KW - proton computed tomography

UR - https://www.mendeley.com/catalogue/82a6a60f-316e-3170-afe8-a90ba4821a63/

U2 - 10.1142/s0217751x25420084

DO - 10.1142/s0217751x25420084

M3 - Article

VL - 40

JO - International Journal of Modern Physics A

JF - International Journal of Modern Physics A

SN - 0217-751X

IS - 21

M1 - 2542008

ER -

ID: 138032658