PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
Author(s)
Type
Journal Article
Abstract
In this paper we present a novel method for the correction of motion artifacts that are present in fetal Magnetic Resonance Imaging (MRI) scans of the whole uterus. Contrary to current slice-to-volume registration (SVR) methods, requiring an inflexible anatomical enclosure of a \emph{single} investigated organ, the proposed patch-to-volume reconstruction (PVR) approach is able to reconstruct a large field of view of non-rigidly deforming structures. It relaxes rigid motion assumptions by introducing a specific amount of redundant information that is exploited with parallelized patch-wise optimization, super-resolution, and automatic outlier rejection. We further describe and provide an efficient parallel implementation of PVR allowing its execution within reasonable time on commercially available graphics processing units (GPU), enabling its use in the clinical practice. We evaluate PVR's computational overhead compared to standard methods and observe improved reconstruction accuracy in the presence of affine motion artifacts
compared to conventional SVR in synthetic experiments.
Furthermore, we have evaluated our method qualitatively and quantitatively on real fetal MRI data subject to maternal breathing and sudden fetal movements. We evaluate peak-signal-to-noise ratio (PSNR), structural similarity index (SSIM), and cross correlation (CC) with respect to the originally acquired data and provide a method for visual inspection of reconstruction uncertainty. We further evaluate the distance error for selected anatomical landmarks in the fetal head, as well as calculating the mean and maximum displacements resulting from automatic non-rigid registration to a motion-free ground truth image. These experiments demonstrate a successful application of PVR motion compensation to the whole fetal body, uterus and placenta.
compared to conventional SVR in synthetic experiments.
Furthermore, we have evaluated our method qualitatively and quantitatively on real fetal MRI data subject to maternal breathing and sudden fetal movements. We evaluate peak-signal-to-noise ratio (PSNR), structural similarity index (SSIM), and cross correlation (CC) with respect to the originally acquired data and provide a method for visual inspection of reconstruction uncertainty. We further evaluate the distance error for selected anatomical landmarks in the fetal head, as well as calculating the mean and maximum displacements resulting from automatic non-rigid registration to a motion-free ground truth image. These experiments demonstrate a successful application of PVR motion compensation to the whole fetal body, uterus and placenta.
Date Issued
2017-09-01
Date Acceptance
2017-08-01
Citation
IEEE Transactions on Medical Imaging, 2017, 36 (10), pp.2031-2044
ISSN
1558-254X
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
2031
End Page
2044
Journal / Book Title
IEEE Transactions on Medical Imaging
Volume
36
Issue
10
License URL
Sponsor
Commission of the European Communities
Engineering & Physical Science Research Council (E
Wellcome Trust
Engineering and Physical Sciences Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Wellcome Trust/EPSRC
Wellcome Trust
Engineering & Physical Science Research Council (E
Nvidia
Grant Number
319456
RTJ5557761-1
PO :RTJ5557761-1
EP/N024494/1
EP/N024494/1
NS/A000025/1
RTJ5557761
RTJ5557761-1
Nvidia Hardware donation
Subjects
Motion Correction
Fetal Magnetic Resonance Imaging
GPU acceleration
Image Reconstruction
Super-Resolution
Publication Status
Published