How Miscentring in CT Scans Affects Radiation Patient Dose and Image Quality

Authors

DOI:

https://doi.org/10.33178/boolean.2026.1.6

Keywords:

Radiology, Computed Tomography, Radiation Dose, Patient Positioning

Abstract

Computed tomography (CT) imaging is a cornerstone of modern medical diagnostics, yet patient miscentring remains a persistent issue affecting both radiation dose and image quality. Proper patient positioning is critical to optimising scan parameters, reducing unnecessary radiation exposure, and ensuring diagnostic accuracy. Miscentring of patients during CT scanning can result in increased radiation dose, image noise, and potential diagnostic errors. This article explores the impact of patient miscentring on CT imaging, discusses contributing factors, and highlights strategies for mitigation.

Author Biography

  • Yasser H. Hadi, Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland.

    Yasser Hadi is a senior CT radiographer pursuing a PhD at University College Cork. Under the supervision of Professor Mark McEntee and Dr Andrew England, Yasser Hadi's research focuses on the application of artificial intelligence in CT imaging, specifically its impact on optimising radiation dose and imaging quality to provide the best patient care. With a background in clinical radiography and a passion for improving patient outcomes, Yasser Hadi is dedicated to advancing the field of radiography through evidence-based research and innovative practices.

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Published

2026-03-20

Issue

The Boolean 2025-26

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Articles

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Copyright (c) 2026 Yasser H. Hadi

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