Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image

Xu Lin1, Yankun Gao1, Chao Zhu1

  • 1Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.

PubMed
Summary

Deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography enterography (DECTE) significantly improves image quality and lesion visibility. This advanced technique achieves a 50% radiation dose reduction compared to standard methods.