Dataset of Clinical Pediatric Brain MRI with and without Motion Correction Released
Researchers have published a new dataset in Scientific Data featuring clinical pediatric brain MRI scans from 47 children aged 4 to 11 years. The study addresses the common challenge of motion-induced artifacts in pediatric imaging, which often necessitates sedation or general anesthesia. To mitigate neurodevelopmental concerns and logistical issues associated with anesthesia, participants were trained to remain still, allowing imaging without sedation. The dataset includes scans acquired with and without motion correction using a marker-less tracking system integrated into standard clinical workflows. Each sequence is accompanied by radiologist-based quality ratings, automated reference-free quality metrics, and motion traces. All data are structured in compliance with the Brain Imaging Data Structure (BIDS) format for standardization. This resource serves as a valuable benchmark for testing image-based motion correction methods and developing motion-tolerant imaging strategies. It fills a critical gap in publicly available clinical pediatric MRI data acquired under realistic motion conditions, supporting advancements in pediatric neurological research and safer imaging practices.
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Dataset of Clinical Pediatric Brain MRI with and without Motion Correction Released
Researchers have published a new dataset in Scientific Data featuring clinical pediatric brain MRI scans from 47 children aged 4 to 11 years. The study addresses the common challenge of motion-induced artifacts in pediatric imaging, which often necessitates sedation or general anesthesia. To mitigate neurodevelopmental concerns and logistical issues associated with anesthesia, participants were trained to remain still, allowing imaging without sedation. The dataset includes scans acquired with and without motion correction using a marker-less tracking system integrated into standard clinical workflows. Each sequence is accompanied by radiologist-based quality ratings, automated reference-free quality metrics, and motion traces. All data are structured in compliance with the Brain Imaging Data Structure (BIDS) format for standardization. This resource serves as a valuable benchmark for testing image-based motion correction methods and developing motion-tolerant imaging strategies. It fills a critical gap in publicly available clinical pediatric MRI data acquired under realistic motion conditions, supporting advancements in pediatric neurological research and safer imaging practices.
Scientific Data