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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Optimisation_in_CT.pdf Restricted Access | 190.13 kB | Adobe PDF | View/Open Request a copy |
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