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Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI

arXiv 1906.08827 ↗First posted 20 Jun 2019physics.med-ph eess.IVcited by 23

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Abstract (arXiv)

In in-utero MRI, motion correction for fetal body and placenta poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and stretching. The existing slice-to-volume registration (SVR) reconstruction methods are widely employed for motion correction of fetal brain that undergoes only rigid transformation. However, for reconstruction of fetal body and placenta, rigid registration cannot resolve the issue of misregistrations due to deformable motion, resulting in degradation of features in the reconstructed volume. We propose a Deformable SVR (DSVR), a novel approach for non-rigid motion correction of fetal MRI based on a hierarchical deformable SVR scheme to allow high resolution reconstruction of the fetal body and placenta. Additionally, a robust scheme for structure-based rejection of outliers minimises the impact of registration errors. The improved performance of DSVR in comparison to SVR and patch-to-volume registration (PVR) methods is quantitatively demonstrated in simulated experiments and 20 fetal MRI datasets from 28-31 weeks gestational age (GA) range with varying degree of motion corruption. In addition, we present qualitative evaluation of 100 fetal body cases from 20-34 weeks GA range.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jun 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 4; 2023: 5; 2024: 3; 2025: 5; 2026: 3.

23 papers.

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  1. 2023Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRIcited by 10
  2. 2023Fetal-BET: Brain Extraction Tool for Fetal MRIcited by 7
  3. 2025MRI Super-Resolution with Deep Learning: A Comprehensive Surveycited by 7
  4. 2021STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learningcited by 5
  5. 2022AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRIcited by 5
  6. 2022Automatic Segmentation of the Placenta in BOLD MRI Time Seriescited by 5
  7. 2024HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRIcited by 5
  8. 2024SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Datacited by 5
  9. 2025Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challengecited by 4
  10. 2025Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representationscited by 4
  11. 2022Deep Learning Framework for Real-time Fetal Brain Segmentation in MRIcited by 3
  12. 2022OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platformscited by 2
11 more
  1. 2025Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSegcited by 2
  2. 2025From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstructioncited by 1
  3. 2021Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age predictioncited by 0
  4. 2021Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraintcited by 0
  5. 2023Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Modelcited by 0
  6. 2023Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRIcited by 0
  7. 2023Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Seriescited by 0
  8. 2024A Unified Deep Learning Framework for Motion Correction in Medical Imagingcited by 0
  9. 2026Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRIcited by 0
  10. 2026SPARC: Slice-to-volume Pipeline for Automated Reconstruction of gated 3D+time fetal Cardiac MRIcited by 0
  11. 2026SCoPE-Reg: Efficient Rigid Ultrasound Slice-to-Volume Registration via State-Space Correlation and Closed-Form Pose Estimationcited by 0