scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
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

Citations
More filters
Journal ArticleDOI

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.
References
More filters
Journal ArticleDOI

Image quality assessment: from error visibility to structural similarity

TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI

Nonrigid registration using free-form deformations: application to breast MR images

TL;DR: The results clearly indicate that the proposed nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
Journal ArticleDOI

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Registration-based approach for reconstruction of high-resolution in utero fetal MR brain images.

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.
Related Papers (5)