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<p>This study aims to investigate the responses of a perovskite-based direct-conversion dual-layer flat-panel detector (DL-FPD) numerically. To this end, the X-ray sensitivity, spatial resolution quantified by the modulation transfer function (MTF), and detective quantum efficiency (DQE) of the DL-FPD are evaluated numerically using a linear cascade model. In addition, both the single-crystal (SC) and polycrystalline (PC) structures of <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\hbox {MAPbI}_{3}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>MAPbI</mtext> <mn>3</mn> </msub> </math></EquationSource> </InlineEquation> are investigated, along with various other key parameters such as the material thickness, electric field strength, X-ray beam spectrum, and electronic readout noise. The results demonstrate that SC perovskite consistently exhibits better performance than PC perovskite owing to fewer material defects. Increasing the layer thickness may decrease the MTF, but can also enhance the sensitivity and DQE. Moreover, appropriately increasing the external electric field within the material can improve the sensitivity, MTF, and DQE. Finally, reducing the electronic readout noise can significantly enhance the DQE for low-dose imaging. This study demonstrates the potential of high-quality dual-energy X-ray imaging using direct-conversion perovskite DL-FPDs.</p>

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Response estimation and evaluation of direct-conversion dual-layer perovskite X-ray detectors: a numerical study with a cascaded signal model

  • 期刊论文

  • 发表日期：

    2026年1月7日

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  • Han Cui,
  • Yu-Hang Tan,
  • Xin Zhang,
  • Hao-Di Wu,
  • Ting Su,
  • Jiong-Tao Zhu,
  • Hai-Rong Zheng,
  • Dong Liang,
  • Xiang-Ming Sun,
  • Yong-Shuai Ge

摘要

This study aims to investigate the responses of a perovskite-based direct-conversion dual-layer flat-panel detector (DL-FPD) numerically. To this end, the X-ray sensitivity, spatial resolution quantified by the modulation transfer function (MTF), and detective quantum efficiency (DQE) of the DL-FPD are evaluated numerically using a linear cascade model. In addition, both the single-crystal (SC) and polycrystalline (PC) structures of \(\hbox {MAPbI}_{3}\) MAPbI 3 are investigated, along with various other key parameters such as the material thickness, electric field strength, X-ray beam spectrum, and electronic readout noise. The results demonstrate that SC perovskite consistently exhibits better performance than PC perovskite owing to fewer material defects. Increasing the layer thickness may decrease the MTF, but can also enhance the sensitivity and DQE. Moreover, appropriately increasing the external electric field within the material can improve the sensitivity, MTF, and DQE. Finally, reducing the electronic readout noise can significantly enhance the DQE for low-dose imaging. This study demonstrates the potential of high-quality dual-energy X-ray imaging using direct-conversion perovskite DL-FPDs.