TY - JOUR
T1 - PVR
T2 - Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
AU - Alansary, Amir
AU - Rajchl, Martin
AU - McDonagh, Steven G.
AU - Murgasova, Maria
AU - Damodaram, Mellisa
AU - Lloyd, David F.A.
AU - Davidson, Alice
AU - Rutherford, Mary
AU - Hajnal, Joseph V.
AU - Rueckert, Daniel
AU - Kainz, Bernhard
PY - 2017/9/1
Y1 - 2017/9/1
N2 - 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 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.
AB - 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 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.
KW - Correlation
KW - Fetal Magnetic Resonance Imaging
KW - GPU acceleration
KW - Image reconstruction
KW - Image Reconstruction
KW - Image resolution
KW - Magnetic resonance imaging
KW - Motion Correction
KW - Super-Resolution
KW - Three-dimensional displays
KW - Transmission line matrix methods
KW - Two dimensional displays
UR - http://www.scopus.com/inward/record.url?scp=85029160935&partnerID=8YFLogxK
U2 - 10.1109/TMI.2017.2737081
DO - 10.1109/TMI.2017.2737081
M3 - Article
AN - SCOPUS:85029160935
SN - 0278-0062
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
ER -