Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Digital Track Calorimetry Using Silicon Pixel Detectors for Proton Computed Tomography. / Петров, Виталий Валерьевич; Жеребчевский, Владимир Иосифович; Кондратьев, Валерий Петрович; Феофилов, Григорий Александрович; Мальцев, Николай Александрович; Прокофьев, Никита Александрович; Землин, Егор Олегович.
в: Physics of Particles and Nuclei, Том 57, № 3, 25.05.2026, стр. 393-400.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Digital Track Calorimetry Using Silicon Pixel Detectors for Proton Computed Tomography
AU - Петров, Виталий Валерьевич
AU - Жеребчевский, Владимир Иосифович
AU - Кондратьев, Валерий Петрович
AU - Феофилов, Григорий Александрович
AU - Мальцев, Николай Александрович
AU - Прокофьев, Никита Александрович
AU - Землин, Егор Олегович
PY - 2026/5/25
Y1 - 2026/5/25
N2 - Proton computed tomography (pCT) is a promising technique for planning the treatment of oncology patients undergoing radiation therapy. It relies on determining the proton stopping power in the patient’s tissues using tracking calorimeters. This study proposes a concept of pCT based on monolithic active silicon pixel sensors, which can record proton tracks and measure proton energy under conditions of high intensity. The paper provides a method for reconstructing proton tracks using cellular automata algorithm. Experimentally obtained pixel cluster multiplicity as a function of energy along with images of phantoms irradiated by proton beams are also presented.
AB - Proton computed tomography (pCT) is a promising technique for planning the treatment of oncology patients undergoing radiation therapy. It relies on determining the proton stopping power in the patient’s tissues using tracking calorimeters. This study proposes a concept of pCT based on monolithic active silicon pixel sensors, which can record proton tracks and measure proton energy under conditions of high intensity. The paper provides a method for reconstructing proton tracks using cellular automata algorithm. Experimentally obtained pixel cluster multiplicity as a function of energy along with images of phantoms irradiated by proton beams are also presented.
UR - https://www.mendeley.com/catalogue/bddb9d58-f32c-3f6f-9353-b8b681bdd3ac/
U2 - 10.1134/S106377962570145X
DO - 10.1134/S106377962570145X
M3 - Article
VL - 57
SP - 393
EP - 400
JO - Physics of Particles and Nuclei
JF - Physics of Particles and Nuclei
SN - 1063-7796
IS - 3
ER -
ID: 157671660