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PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

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Title: PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
Authors: Alansary, A
Rajchl, M
McDonagh, S
Murgasova, M
Damodaram, M
Lloyd, DFA
Davidson, A
Rutherford, M
Hajnal, JV
Rueckert, D
Kainz, B
Item 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.
Date of Acceptance: 1-Aug-2017
URI: http://hdl.handle.net/10044/1/52442
DOI: 10.1109/TMI.2017.2737081
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
Sponsor/Funder: 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
Funder's Grant Number: 319456
RTJ5557761-1
PO :RTJ5557761-1
EP/N024494/1
EP/N024494/1
NS/A000025/1
RTJ5557761
RTJ5557761-1
Nvidia Hardware donation
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Interdisciplinary Applications
Engineering, Biomedical
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Radiology, Nuclear Medicine & Medical Imaging
Computer Science
Engineering
Motion correction
fetal magnetic resonance imaging
GPU acceleration
image reconstruction
super-resolution
BRAIN MRI
REGISTRATION
SUPERRESOLUTION
IMAGES
REGULARIZATION
SEGMENTATION
LOCALIZATION
SIMILARITY
DIAGNOSIS
FRAMEWORK
cs.CV
I.2.10; I.4.3; D.1.3
Motion Correction
Fetal Magnetic Resonance Imaging
Image Reconstruction
Super-Resolution
08 Information And Computing Sciences
09 Engineering
Nuclear Medicine & Medical Imaging
Publication Status: Published
Appears in Collections:Faculty of Engineering
Computing
Department of Medicine
Faculty of Medicine



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