Abstract
In 4D T2* placental MRI studies, motion correction is generally considered a prerequisite for quantitative analysis. However, the existing approaches use only global spatio-temporal alignment based on the classical 3D nonrigid registration and do not correct inter-slice motion. Alignment of T2* and T2 volumes in one reference space could also address the limitation of low resolution of T2* stacks and allow analysis of finer anatomical features. This work introduces a novel pipeline for motion correction in 4D T2* and 3D T2*+T2 placental MRI datasets based on the deformable slice-to-volume registration (DSVR) method. The pipelines are evaluated on 60 T2* placental MRI datasets.
M. Deprez and J. Hutter—Maria Deprez and Jana Hutter are co-senior authors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
PIP project: https://placentaimagingproject.org.
- 2.
CARP project: https://heartmeetsplacenta.org.
- 3.
SVRTK: https://github.com/SVRTK/SVRTK.
- 4.
References
Abulnaga, S.M., Abaci Turk, E., Bessmeltsev, M., Grant, P.E., Solomon, J., Golland, P.: Placental Flattening via Volumetric Parameterization. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11767, pp. 39–47. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32251-9_5
Alansary, A., et al.: PVR: patch-to-volume reconstruction for large area motion correction of fetal MRI. IEEE TMI 36(10), 2031–2044 (2017)
Flouri, D., et al.: Improved fetal blood oxygenation and placental estimated measurements of diffusion-weighted MRI using data-driven Bayesian modeling. MRM 83, 2160–2172 (2019)
Harteveld, A.A., et al.: Systematic evaluation of velocity-selective arterial spin labeling settings for placental perfusion measurement. MRM 84, 1828–1843 (2020)
Hutter, J., et al.: Multi-modal functional MRI to explore placental function over gestation. MRM 81(2), 1191–1204 (2019)
Hutter, J., et al.: Perfusion and apparent oxygenation in the human placenta (PERFOX). MRM 83(2), 549–560 (2020)
Jackson, L.H., et al.: Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP. MRM 82(5), 1631–1645 (2019)
Kuklisova-Murgasova, M., et al.: Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. MediAN 16(8), 1550–1564 (2012)
Kuklisova-Murgasova, M., et al.: Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint. IEEE TMI 37(1), 12–19 (2018)
Liao, R., et al.: Temporal registration in in-utero volumetric MRI time series. MICCAI 9902, 54–62 (2016)
Luo, J., et al.: In vivo quantification of placental insufficiency by BOLD MRI: a human study. Sci. Rep. 7(1), 1–10 (2017)
Melbourne, A., et al.: Separating fetal and maternal placenta circulations using multiparametric MRI. MRM 81(1), 350–361 (2019)
Miao, H., et al.: Placenta maps: in utero placental health assessment of the human fetus. IEEE TVCG 23(6), 1612–1623 (2017)
Rueckert, D., et al.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE TMI 18(8), 712–721 (1999)
Sørensen, A., Hutter, J., Seed, M., Grant, P.E., Gowland, P.: T2*-weighted placental MRI: basic research tool or emerging clinical test for placental dysfunction? Ultrasound Obstet. Gynecol. 55(3), 293–302 (2020)
Torrents-Barrena, J., et al.: Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI. MediAN 54, 263–279 (2019)
Turk, E.A., et al.: Spatiotemporal alignment of in utero BOLD-MRI series. J. MRI 46(2), 403–412 (2017)
Turk, E.A., et al.: Placental MRI: effect of maternal position and uterine contractions on placental BOLD MRI measurements. Placenta 95, 69–77 (2020)
Uus, A., et al.: Deformable slice-to-volume registration for motion correction of fetal body and placenta MRI. IEEE TMI 39, 2750–2759 (2020, in press)
Acknowledgments
We thank everyone who was involved in acquisition of the datasets and all participating mothers. This work was supported by the NIH (Human Placenta Project–grant 1U01HD087202-01), Welcome Trust Sir Henry Wellcome Fellowship (201374/Z/16/Z and 201374/Z/16/B), Wellcome-EPSRC Center for Medical Engineering, 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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Uus, A. et al. (2020). Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. In: Hu, Y., et al. Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. ASMUS PIPPI 2020 2020. Lecture Notes in Computer Science(), vol 12437. Springer, Cham. https://doi.org/10.1007/978-3-030-60334-2_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-60334-2_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60333-5
Online ISBN: 978-3-030-60334-2
eBook Packages: Computer ScienceComputer Science (R0)