Alena Uus1, Irina Grigorescu1, Aditi Shetty1, Alexia Egloff Collado2, Joseph Davidson3,4, Milou van Poppel1,5, Johannes Steinweg2, Lisa Story2, Michael Aertsen6,7, Jan Deprest8, Jim Carmichael9, Joseph V Hajnal1,2, Mary Rutherford2, and Maria Deprez1
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Prenatal Cell and Gene Therapy, Elizabeth Garrett Anderson Institute of Women’s Health, University College London, London, United Kingdom, 4Stem Cells and Regenerative Medicine, GOS-UCL Institute of Child Health, London, United Kingdom, 5Department of Congenital Heart Disease, Evelina Children’s Hospital, London, United Kingdom, 6Department of Radiology, University Hospitals Leuven, Leuven, Belgium, 7Department of Imaging and Pathology, Biomedical Sciences, KU Leuven, Leuven, Belgium, 8Department of Obstetrics, University Hospitals KU Leuven, Leuven, Belgium, 9Paediatric Radiology, Evelina London Children’s Hospital, London, United Kingdom
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Prenatal Cell and Gene Therapy, Elizabeth Garrett Anderson Institute of Women’s Health, University College London, London, United Kingdom, 4Stem Cells and Regenerative Medicine, GOS-UCL Institute of Child Health, London, United Kingdom, 5Department of Congenital Heart Disease, Evelina Children’s Hospital, London, United Kingdom, 6Department of Radiology, University Hospitals Leuven, Leuven, Belgium, 7Department of Imaging and Pathology, Biomedical Sciences, KU Leuven, Leuven, Belgium, 8Department of Obstetrics, University Hospitals KU Leuven, Leuven, Belgium, 9Paediatric Radiology, Evelina London Children’s Hospital, London, United Kingdom
This work presents a continuous 4D atlas of fetal lung development within 22-32 weeks gestational age (GA) generated from ~130 fetal MRI datasets. It also includes growth charts for fetal MRI lung indices and an automated method for fetal lung volumetry based on 3D CNN segmentation.
Generated continuous 4D atlas of the fetal thorax development during [22; 32] weeks GA range (0.5mm isotropic resolution).
Lung growth charts for 100 fetuses without reported anomalies scanned during [22; 32] weeks GA period (a). The extracted indices include: (b) total lung volume (TLV) in comparison to the Cannie’s, 2008 [3] Meyers’s, 2018 [4] formulas; (c) liver to lung signal intensity ratio (LLSiR); (d) total fetal volume (TFV); (e) TLV/TFV ratio. There is a clear correlation between TLV, LSSiR and TFV, which the TLV/TFV values are independant. The 3D models of the fetal lungs and hearts segmented from the 4D atlas at 22, 27 and 32 weeks GA time points are shown in (f).
