Assessing data quality on fetal brain MRI reconstruction: a multi-site and multi-rater study
Thomas Sanchez,
Angeline Mihailov,
Yvan Gomez
et al.
Abstract:Quality assessment (QA) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where unpredictable fetal motion can lead to substantial artifacts in the acquired images. Multiple images are then combined into a single volume through super-resolution reconstruction (SRR) pipelines, a step that can also introduce additional artifacts. While multiple studies designed automated quality control pipelines, no work evaluated the repro… Show more
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