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<b>Abstract</b>— <p>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.</p>

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Digital Track Calorimetry Using Silicon Pixel Detectors for Proton Computed Tomography

  • 期刊论文

  • 发表日期：

    2026年5月25日

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  • V. V. Petrov,
  • V. I. Zherebchevsky,
  • V. P. Kondratiev,
  • G. A. Feofilov,
  • N. A. Maltsev,
  • N. A. Prokofiev,
  • E. O. Zemlin

摘要

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’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.