Abstract
Objectives: To calculate 3D-segmented total lung volume (TLV) in fetuses with thoracic anomalies using deformable slice-to-volume registration (DSVR) with comparison to 2D-manual segmentation. To establish normogram of TLV calculated by DSVR in healthy control fetuses.
Methods: A pilot study at a single regional fetal medicine referral centre included 16 MRI datasets of fetuses (22-32 weeks GA). Diagnosis was CDH(n=6), CPAM(n=2), and healthy controls(n=8). DSVR was used for reconstruction of 3D isotropic (0.85 mm) volumes of the fetal body followed by semi-automated lung segmentation. 3D TLV were compared to traditional 2D-based volumetry. Abnormal cases referenced to a normogram produced from 100 normal fetuses whose TLV was calculated by DSVR only.
Results: DSVR-derived TLV values have high correlation with the 2D-based measurements but with a consistently lower volume; bias -1.44cm3 [95%limits: -2.6 to -0.3] with improved resolution to exclude hilar structures even in cases of motion corruption or very low lung volumes.
Conclusions: DSVR for fetal lung MRI aids analysis of motion corrupted scans and does not suffer from the interpolation error inherent to 2D-segmentation. It increases information content of acquired data in terms of visualising organs in 3D space and quantification of volumes, which may improve counselling and surgical planning.
Methods: A pilot study at a single regional fetal medicine referral centre included 16 MRI datasets of fetuses (22-32 weeks GA). Diagnosis was CDH(n=6), CPAM(n=2), and healthy controls(n=8). DSVR was used for reconstruction of 3D isotropic (0.85 mm) volumes of the fetal body followed by semi-automated lung segmentation. 3D TLV were compared to traditional 2D-based volumetry. Abnormal cases referenced to a normogram produced from 100 normal fetuses whose TLV was calculated by DSVR only.
Results: DSVR-derived TLV values have high correlation with the 2D-based measurements but with a consistently lower volume; bias -1.44cm3 [95%limits: -2.6 to -0.3] with improved resolution to exclude hilar structures even in cases of motion corruption or very low lung volumes.
Conclusions: DSVR for fetal lung MRI aids analysis of motion corrupted scans and does not suffer from the interpolation error inherent to 2D-segmentation. It increases information content of acquired data in terms of visualising organs in 3D space and quantification of volumes, which may improve counselling and surgical planning.
| Original language | English |
|---|---|
| Journal | Prenatal Diagnosis |
| Publication status | Accepted/In press - 26 Feb 2022 |
