Quantitative Imaging and Dose Optimization in CT Scans: A Fusion of Radiology and Physics

Authors

  • Haitham Almajnouni Medical Physics , Prince Sattam Bin Abdulaziz University Hospital Author
  • Aseel Almasoodi Medical Physics, Sabya General Hospital Author
  • Bader Alanazi Radiologic Technologists, Prince Sattam Bin Abdulaziz University Hospital Author

DOI:

https://doi.org/10.63278/jicrcr.v7i1.91

Keywords:

Computed tomography, radiation dose optimization, quantitative imaging, artificial intelligence, image quality, deep learning, photon-counting CT

Abstract

Recent advances in computed tomography (CT) have led to
significant improvements in quantitative imaging capabilities while
emphasizing the critical importance of radiation dose optimization.
This review synthesizes findings from ten key papers published
between 2022 and 2025, focusing on the integration of advanced
computational methods, artificial intelligence (AI), and novel
scanning protocols. The analysis reveals promising developments in
dose reduction strategies while maintaining or improving image
quality, with particular emphasis on clinical applications,
methodological innovations, and future directions. 

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Published

2024-12-22

Issue

Vol. 7 No. 1 (2024)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Quantitative Imaging and Dose Optimization in CT Scans: A Fusion of Radiology and Physics. (2024). Journal of International Crisis and Risk Communication Research, 7(1). https://doi.org/10.63278/jicrcr.v7i1.91