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CT is the mainstay of lung imaging due to its higher spatial resolution, convenience, availability, and faster acquisition time than with the other imaging methods such as magnetic resonance imaging (MRI) or nuclear imaging. However, CT often requires additional histological analyses or other types of non-radiological examinations for accurate diagnosis and would therefore benefit from better detection and characterization of parenchymal lesions while reducing X-ray dose. Accordingly, in the following sub-sections of this review, we present some key applications which, based on our experience, could benefit from ultra-high-resolution (UHR) performances. These could be achieved with radiation doses which are similar to/lower than current CT systems by taking advantage of the higher matrix size (e.g., 1024–2048), thinner slice thickness (e.g., down to ~0.15 mm), and higher frequency filters.

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Lung Applications of Spectral Photon-Counting Computed Tomography (SPCCT)

  • 章节

  • 发表日期：

    2025年

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  • Salim Aymeric Si-Mohamed,
  • Alexandre Bleunven,
  • Sara Boccalini,
  • Alexandra Braillon,
  • Ségolène Turquier,
  • Julie Traclet,
  • Rémi Diesler,
  • François Lestelle,
  • Loic Boussel,
  • Vincent Cottin,
  • Philippe Douek

摘要

CT is the mainstay of lung imaging due to its higher spatial resolution, convenience, availability, and faster acquisition time than with the other imaging methods such as magnetic resonance imaging (MRI) or nuclear imaging. However, CT often requires additional histological analyses or other types of non-radiological examinations for accurate diagnosis and would therefore benefit from better detection and characterization of parenchymal lesions while reducing X-ray dose. Accordingly, in the following sub-sections of this review, we present some key applications which, based on our experience, could benefit from ultra-high-resolution (UHR) performances. These could be achieved with radiation doses which are similar to/lower than current CT systems by taking advantage of the higher matrix size (e.g., 1024–2048), thinner slice thickness (e.g., down to ~0.15 mm), and higher frequency filters.