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Artificial Intelligence for X-Ray Photon Counting Technology: Current Status and Future Perspectives

  • Alison Deng,
  • James Day,
  • Elmaddin Guliyev,
  • Kris Iniewski,
  • Magdalena Bazalova-Carter

摘要

This chapter offers a broad overview of the current research landscape where artificial intelligence techniques intersect with X-ray photon-counting computed tomography (PCCT), highlighting how AI techniques are being harnessed to elevate the capabilities of PCCT. AI has great potential to improve PCCT image quality, contrast resolution, and diagnostic accuracy, yet it also faces unique challenges. Given the rapid pace of development and the breadth of ongoing research, this chapter recognizes its limitations in encapsulating the full spectrum of possibilities at the intersection of AI and PCCT. By providing a snapshot of current trends, challenges, and potential innovations, we aim to illuminate the path forward for researchers and clinicians in the PCCT field. We aim to illuminate the path forward for researchers and clinicians in the PCCT field by providing a snapshot of current trends, challenges, and potential innovations.