kcl_cdb/fetal_body_mri_atlas: Population-average 3D MRI atlases of the fetal body @ c8fa7b28003c79c32d4184a0965f0b63e3135ae7

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3D fetal MRI altases of the fetal body

This repository contains 3D fetal MRI atlases of the fetal body cretated at King's College London from 3D DSVR reconstructed images.

Structural 3D T2w MRI altas of fetal body at 3T

The fetal body atlas was created from 3D DSVR-reconstructed images of 17 normal fetuses (3T, TE=180ms). The parcellation protocol includes 10 organ ROIs relevant to volumetric studies.

Sci Rep 14, 6637 (2024); doi: https://doi.org/10.1038/s41598-024-57087-x

Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI

Authors: Alena Uus, Megan Hall, Irina Grigorescu, Carla Avena Zampieri, Alexia Egloff Collado, Kelly Payette, Jacqueline Matthew, Vanessa Kyriakopoulou, Joseph V. Hajnal, Jana Hutter, Mary A. Rutherford, Maria Deprez, Lisa Story

Centre for the Developing Brain, King's College London, London, UK
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
Department of Women and Children’s Health, King’s College London, London, UK
Fetal Medicine Unit, Guy’s and St Thomas’ NHS Foundation Trust, London, UK

Fetal lung parcellation protocol for 3D T2w MRI

The fetal lung lobe parcellation protocol defined in the atlas space:

Uus, A., Avena Zampieri, C., Downes, F., Egloff Collado, A., Hall, M., Davidson, J. R., Payette, K., Aviles Verdera, J., Grigorescu, I., Hajnal, J., Deprez, M., Aertsen, M., Hutter, J., Rutherford, M., Deprest, J. & Story, L., "Towards automated multi-regional lung parcellation for 0.55-3T 3D T2w fetal MRI", Jul 2024, (Accepted/In press) PIPPI MICCAI Workshop 2024.

License

The fetal MRI atlases are distributed under the terms of the Creative Commons CC0 1.0 Universal license.

Acknowledgements

We thank everyone who was involved in acquisition and analysis of the datasets at the Department of Perinatal Imaging and Health at Kings College London and St Thomas' Hospital. We thank all participants and their families.

This work was supported by the Wellcome Trust and EPSRC IEH award [102431] for the iFIND project, the NIH Human Placenta Project grant [1U01HD087202‐01], NIHR Advanced Fellowship awarded to Lisa Story [NIHR30166], MRC Confidence in concept [MC_PC_19041], the Wellcome/ EPSRC Centre for Medical Engineering at King’s College London [WT 203148/Z/16/Z], the NIHR Clinical Research Facility (CRF) at Guy’s and St Thomas’ and by the National Institute for Health Research Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London.

The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

In case you found this resource useful please give appropriate credit to the atlases:

SVRTK fetal MRI atlas repository: https://gin.g-node.org/kcl_cdb/fetal_body_mri_atlas