TFKT V2: task-focused knowledge transfer from natural images for computed tomography perceptual image quality assessment.

Journal: Journal of medical imaging (Bellingham, Wash.)
Published Date: May 28, 2025

Abstract

PURPOSE: The accurate assessment of computed tomography (CT) image quality is crucial for ensuring diagnostic reliability while minimizing radiation dose. Radiologists' evaluations are time-consuming and labor-intensive. Existing automated approaches often require large CT datasets with predefined image quality assessment (IQA) scores, which often do not align well with clinical evaluations. We aim to develop a reference-free, automated method for CT IQA that closely reflects radiologists' evaluations, reducing the dependency on large annotated datasets.

Authors

  • Kazi Ramisa Rifa
    University of Kentucky, Lexington, Kentucky, United States.
  • Md Atik Ahamed
    Department of Computer Science, University of Kentucky, Lexington, KY 40506, USA.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Abdullah Imran
    University of Kentucky, Lexington, Kentucky, United States.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals