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<p>Motion-induced artefacts are a common challenge in pediatric magnetic resonance imaging (MRI), often degrading image quality and leading to frequent use of sedation or general anesthesia (GA) to minimise movement and ensure image clarity. However, repeated exposure to GA raises both logistical challenges and potential neurodevelopmental concerns. This dataset includes cerebral MRI scans from 47 children aged 4 to 11 years, who were clinically referred for imaging under GA. The participants were trained and afterwards imaging was performed without GA. MRI scans were acquired with or without motion correction using a marker-less tracking system integrated into the standard clinical workflow. Each MRI sequence is accompanied by radiologist-based quality ratings, automated reference-free quality metrics, and motion traces. For standardisation, all image data are structured in compliance with the Brain Imaging Data Structure (BIDS) format. This dataset provides a valuable benchmark for testing image-based motion correction methods and developing motion-tolerant imaging strategies, addressing a critical gap in a publicly available clinical pediatric MRI data acquired under realistic motion conditions.</p>

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A dataset of clinical pediatric brain MRI with and without motion correction

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月9日

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  • Llucia Coll,
  • Thurid Waagstein Madsen,
  • Kathrine Skak Madsen,
  • Melanie Ganz

摘要

Motion-induced artefacts are a common challenge in pediatric magnetic resonance imaging (MRI), often degrading image quality and leading to frequent use of sedation or general anesthesia (GA) to minimise movement and ensure image clarity. However, repeated exposure to GA raises both logistical challenges and potential neurodevelopmental concerns. This dataset includes cerebral MRI scans from 47 children aged 4 to 11 years, who were clinically referred for imaging under GA. The participants were trained and afterwards imaging was performed without GA. MRI scans were acquired with or without motion correction using a marker-less tracking system integrated into the standard clinical workflow. Each MRI sequence is accompanied by radiologist-based quality ratings, automated reference-free quality metrics, and motion traces. For standardisation, all image data are structured in compliance with the Brain Imaging Data Structure (BIDS) format. This dataset provides a valuable benchmark for testing image-based motion correction methods and developing motion-tolerant imaging strategies, addressing a critical gap in a publicly available clinical pediatric MRI data acquired under realistic motion conditions.