Related Experiment Video
Updated: Sep 25, 2026
Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
Published on: January 7, 2021
Evaluating the Accuracy and Efficiency of Virtual Reality Segmentation for Black-Blood Fetal Cardiac MRI
Sydney Azar1, Rick Friesen2, S B Yuvaraj Rejeti2,3
1Graduate School, University of Colorado, Aurora, USA.
Background:
CHD affects 1% of U.S. births annually, many requiring surgical intervention. Fetal echocardiography is the primary diagnostic tool but can be limited by fetal positioning or maternal anatomy, making black-blood contrast fetal cardiac MRI a valuable complementary modality.
Objective:
To evaluate a novel volumetric segmentation pipeline using virtual reality (Elucis, Realize Medical) applied to black-blood contrast fetal cardiac MRI scans for generating 3D CHD models.
Materials And Methods:
Retrospective feasibility study.
Population:
Fetal cardiac MRI images from pregnant women as screening study for fetal CHD.
Field Strength/Sequence:
High resolution 2D, T2-weighted single shot acquisitions obtained during fetal cardiac MRI. Acquisitions covering the entire fetus on 1.5T or 3T Philips Ingenia scanners in multiple orientations (~ 3-5 planes). Multiplanar acquisitions reconstructed to 3D dataset using slice-to-volume registration.
Assessment:
Segmentation time, difficulty, and challenges were recorded per case. An advanced imaging cardiologist evaluated each 3D model for anatomical accuracy, diagnostic quality, required modifications, and structural visualization using standardized rating scale, with black-blood scans rated identically for comparison.
Statistical Tests:
Descriptive statistics and paired t-test.
Results:
Visualized systemic veins/aortic arch in 100% of segmentations. Mean segmentation time was 4.7 min. Achieved diagnostic or minor-modification-only quality in 86.7% of cases. Segmentations showed significantly higher visualization scores than black-blood scans for systemic veins (3.8 ± 0.41 vs. 2.8 ± 0.99) and aortic/ductal arches (3.5 ± 0.57 vs. 3.2 ± 0.61); pulmonary artery (p = 0.546) and vein (p = 0.586) scores didn't differ significantly.
Conclusion:
VR-based volumetric segmentation of black-blood fetal cardiac MRI produced diagnostic/near-diagnostic quality models in 86.7% of cases, with superior visualization of systemic veins and aortic/ductal arches versus black-blood scans alone.
Evidence Level:
Level 3.
Technical Efficacy Stage:
Stage 1.
