Please use this identifier to cite or link to this item: /library/oar/handle/123456789/136902
Title: Optimisation in CT! Dead or alive?
Authors: Bellizzi, Andrea
Zarb, Francis
Keywords: X-rays
Tomography -- Methodology
Diagnostic imaging -- Quality control
Radiography, Medical -- Image quality
Radiation -- Safety measures
Diagnostic imaging -- Safety measures
Medical technology -- Evaluation
Issue Date: 2025
Publisher: Elsevier Ltd
Citation: Bellizzi, A., & Zarb, F. (2025). Optimisation in CT! Dead or alive?. Radiography, 31(1), 137-138 DOI: https://doi.org/10.1016/j.radi.2024.11.007
Abstract: In this letter to the editor, the authors critically examine the current state of optimisation practices in computed tomography (CT). They discuss the challenges and implications of maintaining effective optimisation strategies in the face of evolving technology and clinical demands. Through a reflective analysis, the article questions whether traditional optimisation principles remain relevant and effective in contemporary CT imaging. The discussion highlights the need for continuous evaluation and adaptation of optimisation protocols to ensure patient safety and image quality.
URI: https://www.um.edu.mt/library/oar/handle/123456789/136902
Appears in Collections:Scholarly Works - FacHScRad

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