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Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI

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Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis (ASMUS 2020, PIPPI 2020)

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.

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Notes

  1. 1.

    PIP project: https://placentaimagingproject.org.

  2. 2.

    CARP project: https://heartmeetsplacenta.org.

  3. 3.

    SVRTK: https://github.com/SVRTK/SVRTK.

  4. 4.

    MIRTK: https://github.com/BioMedIA/MIRTK.

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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.

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Correspondence to Alena Uus .

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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

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  • DOI: https://doi.org/10.1007/978-3-030-60334-2_22

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