Keywords: Fetal, Fetus
Motivation: Low field MRI is a promising direction for fetal imaging. Yet, there are no reported models of fetal development specific to 0.55T.
Goal(s): We aim to formalise normal fetal growth models for structural 0.55T MRI.
Approach: We use registration-based approach for generation of spatio-temporal templates from 3D D/SVR reconstructed images of the fetal brain and body and apply deep learning segmentation to parcellate organs for volumetry from >100 control subjects.
Results: This work introduces the first T2w fetal atlases and volumetry growth charts for 0.55T brain and body MRI depicting normal development across 22-38 weeks gestation. All models are publicly available online.
Impact: This work is the first step toward formalisation of analysis protocols for normal fetal brain and body development and optimisation of segmentation methods for low field strength fetal MRI.
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