An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field
Kelly Payette, Alena Uus, Jordina Aviles Verdera, Carla Avena, Zampieri, Megan Hall, Lisa Story, Maria Deprez, Mary A. Rutherford, Joseph V., Hajnal, Sebastien Ourselin, Raphael Tomi-Tricot, Jana Hutter

TL;DR
This paper presents a semi-automatic pipeline for quantitative T2* fetal body MRI at low field strength, enabling detailed organ segmentation and analysis across gestational ages, with potential for clinical application.
Contribution
The study introduces a novel semi-automatic pipeline combining deformable reconstruction and neural network segmentation for fetal MRI at low field, improving automation and analysis accuracy.
Findings
Achieved high segmentation accuracy with dice > 0.74 for most organs
Established strong correlation between T2* values and gestational age in key organs
Demonstrated robustness of the pipeline across a wide range of fetal ages
Abstract
Fetal Magnetic Resonance Imaging at low field strengths is emerging as an exciting direction in perinatal health. Clinical low field (0.55T) scanners are beneficial for fetal imaging due to their reduced susceptibility-induced artefacts, increased T2* values, and wider bore (widening access for the increasingly obese pregnant population). However, the lack of standard automated image processing tools such as segmentation and reconstruction hampers wider clinical use. In this study, we introduce a semi-automatic pipeline using quantitative MRI for the fetal body at low field strength resulting in fast and detailed quantitative T2* relaxometry analysis of all major fetal body organs. Multi-echo dynamic sequences of the fetal body were acquired and reconstructed into a single high-resolution volume using deformable slice-to-volume reconstruction, generating both structural and quantitative…
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Taxonomy
TopicsFetal and Pediatric Neurological Disorders · Advanced MRI Techniques and Applications · Neonatal and fetal brain pathology
MethodsGenetic Algorithms
