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Abstract #2418

Impact of AI Acceleration on Image Quality and Diagnostic Quality in Clinical Paediatric Neuroimaging

Thomas McGeown1, Jon O. Cleary2,3, Sina Kafiabadi2, Naimish Adroja2, Nina Mellor2,4, Tracy Moon2,4, Caitlin O'Brien3,5, and Simon Shah5
1Medical Engineering and Physics, King's College Hospital NHS Foundation Trust, London, United Kingdom, 2Department of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 3School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Magnetic Resonance Imaging, Evelina London Children's Hospital, London, United Kingdom, 5Medical Physics and Clinical Engineering - MRI, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom

Synopsis

Keywords: Neuro, Pediatric, AI

Motivation: Accelerated imaging can significantly reduce scan duration, but the impact on image and diagnostic quality must be evaluated before confident deployment in a clinical paediatric workflow.

Goal(s): Assess the impact of accelerated techniques on image and diagnostic quality of paediatric brain scans.

Approach: 16 paediatric patients underwent routine and accelerated neuroimaging in a tertiary paediatric centre. Two experienced neuroradiologists and a radiology resident blindly scored each set of images for image quality across multiple brain regions and assessed overall diagnostic quality.

Results: Routine and accelerated images received comparable image quality scores, but there was disagreement between radiologists over which provided better diagnostic quality.

Impact: Accelerated imaging techniques can be used to significantly reduce scan times in paediatric brain imaging whilst maintaining image quality, supporting confident clinical deployment.

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