分子影像学杂志2025，Vol.48Issue(6)：763-769,7.DOI:10.12122/j.issn.1674-4500.2025.06.16
不同重建算法在腹部低剂量CT扫描中的应用进展
Application progress of different reconstruction algorithms in low-dose abdominal computed tomography scanning
摘要
Abstract
Abdominal CT examinations,characterized by broad anatomical coverage and multiphase scanning protocols,pose significant challenges in radiation dose control.Merely adjusting hardware parameters often fails to balance radiation reduction with diagnostic image quality.As a core technology that breaks through traditional hardware limitations,reconstruction algorithms have shown great potential in the field of low-dose abdominal CT.This review systematically examines the developmental trajectory,clinical applications,and limitations of conventional filtered back projection(FBP),iterative reconstruction(IR)and deep learning image reconstruction algorithms in low-dose abdominal CT.A focused analysis is provided on the technical principles,clinical application value,and potential shortcomings of mainstream algorithms such as ASIR-V and TrueFidelityTM,aims to establish a theoretical foundation for selecting optimal reconstruction protocols in clinical practice and proposes future directions for algorithm refinement(such as integration with spectral CT and photon-counting detector technologies).关键词
腹部CT/低剂量扫描/图像重建算法Key words
abdominal CT/low-dose scanning/image reconstruction algorithms引用本文复制引用
李颖鑫,张喜荣..不同重建算法在腹部低剂量CT扫描中的应用进展[J].分子影像学杂志,2025,48(6):763-769,7.基金项目
陕西省高校创新团队 （）
咸阳市科技局项目(L2024-QCY-ZYYJJQ-X127) （L2024-QCY-ZYYJJQ-X127）
