Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI
Alena Uus,Tong Zhang,Laurence H. Jackson,Thomas A. Roberts,Mary A. Rutherford,Joseph V. Hajnal,Maria Deprez +6 more
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TLDR
This work proposes a novel approach for non-rigid motion correction in 3D volumes based on an extension of the classical SVR method with hierarchical deformable registration scheme and structure-based outlier rejection and allows high resolution reconstruction of the fetal trunk.Abstract:
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.read more
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Fetal Neuroimaging Updates.
TL;DR: In this paper, the authors outline the current acquisition strategies for fetal brain MR imaging and discuss the near term advances that will improve its reliability, and propose a method for forward and retrospective motion correction.
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Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.
Maria Kuklisova-Murgasova,Gerardine Quaghebeur,Mary A. Rutherford,Joseph V. Hajnal,Julia A. Schnabel +4 more
TL;DR: This work proposes a new method for reconstruction of 3D fetal brain MRI from 2D slices that is interleaved with motion correction and shows excellent results for clinical and optimized data.
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Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI
TL;DR: A novel technique based on a slice acquisition model, which enables the reconstruction of a volumetric image from multiple-scan slice acquisitions and a robust M-estimation solution which minimizes a robust error norm function between the model-generated slices and the acquired slices are developed.
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Registration-based approach for reconstruction of high-resolution in utero fetal MR brain images.
François Rousseau,Orit A. Glenn,Bistra Iordanova,Claudia E. Rodríguez-Carranza,Daniel B. Vigneron,James Barkovich,Colin Studholme +6 more
TL;DR: Results indicate that this method promises a unique route to acquiring high-resolution MRI of the fetal brain in vivo allowing comparable quality to that of neonatal MRI.