Medical Image Quality: Objective, Subjective, and Advanced Assessment
*Corresponding Author: Dr. Paulo Teixeira, Department of Image Quality Assessment, Eduardo Mondlane University, Mozambique, Email: p.teixeira@imgqual.mzReceived Date: Dec 02, 2025 / Published Date: Dec 30, 2025
Citation: Teixeira DP (2025) Medical Image Quality: Objective, Subjective, and Advanced Assessment. J Radiol 14: 764.DOI: 10.4172/2167-7964.1000764
Copyright: © 2025 Dr. Paulo Teixeira This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This collection of studies examines the critical role of image quality assessment in medical imaging. It encompasses objective and subjective evaluation methods, deep learning applications in CT, noise reduction in MRI, and metric usage in DR. Task-based assessment for mammography, perceptual quality in ultrasound, AI integration challenges, and the impact of compression are also discussed. The research underscores the need for tailored approaches to ensure diagnostic accuracy and patient safety across various modalities.
