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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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@article{0089ecff067247a6a76196f523c08411,
title = "Digital Track Calorimetry Using Silicon Pixel Detectors for Proton Computed Tomography",
abstract = "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{\textquoteright}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.",
author = "Петров, {Виталий Валерьевич} and Жеребчевский, {Владимир Иосифович} and Кондратьев, {Валерий Петрович} and Феофилов, {Григорий Александрович} and Мальцев, {Николай Александрович} and Прокофьев, {Никита Александрович} and Землин, {Егор Олегович}",
year = "2026",
month = may,
day = "25",
doi = "10.1134/S106377962570145X",
language = "English",
volume = "57",
pages = "393--400",
journal = "Physics of Particles and Nuclei",
issn = "1063-7796",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "3",

}

RIS

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