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

被引:35
作者
Alansary, Amir [1 ]
Rajchl, Martin [1 ]
McDonagh, Steven G. [1 ]
Murgasova, Maria [2 ]
Damodaram, Mellisa [2 ]
Lloyd, David F. A. [2 ]
Davidson, Alice [2 ]
Rutherford, Mary [2 ]
Hajnal, Joseph V. [2 ]
Rueckert, Daniel [1 ]
Kainz, Bernhard [1 ]
机构
[1] Imperial Coll London, Dept Comp, Biomed Image Anal Grp, London SW7 2AZ, England
[2] Kings Coll London, Dept Biomed Engn, London WC2R 2LS, England
基金
英国惠康基金; 英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Motion correction; fetal magnetic resonance imaging; GPU acceleration; image reconstruction; super-resolution; BRAIN LOCALIZATION; REGISTRATION; SUPERRESOLUTION; FRAMEWORK; QUALITY;
D O I
10.1109/TMI.2017.2737081
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 patchwise 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, enabling its use in the clinical practice. We evaluate PVR's computational overhead compared with standard methods and observe improved reconstruction accuracy in the presence of affine motion artifacts compared with 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, structural similarity index, and cross correlation 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 amotion-free ground truth image. These experiments demonstrate a successful application of PVR motion compensation to the whole fetal body, uterus, and placenta.
引用
收藏
页码:2031 / 2044
页数:14
相关论文
共 51 条
  • [1] SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
    Achanta, Radhakrishna
    Shaji, Appu
    Smith, Kevin
    Lucchi, Aurelien
    Fua, Pascal
    Suesstrunk, Sabine
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (11) : 2274 - 2281
  • [2] Alansary A., 2016, P 19 INT C MED IM CO
  • [3] Automatic Brain Localization in Fetal MRI Using Superpixel Graphs
    Alansary, Amir
    Lee, Matthew
    Keraudren, Kevin
    Kainz, Bernhard
    Malamateniou, Christina
    Rutherford, Mary
    Hajnal, Joseph V.
    Glocker, Ben
    Rueckert, Daniel
    [J]. MACHINE LEARNING MEETS MEDICAL IMAGING, 2015, 9487 : 13 - 22
  • [4] [Anonymous], 2011, CUDA by Example: An Introduction to General-Purpose GPU Programming
  • [5] A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration
    Arsigny, Vincent
    Commowick, Olivier
    Ayache, Nicholas
    Pennec, Xavier
    [J]. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2009, 33 (02) : 222 - 238
  • [6] Potential Heating Effect in the Gravid Uterus by Using 3-T MR Imaging Protocols: Experimental Study in Miniature Pigs
    Cannie, Mieke M.
    De Keyzer, Frederik
    Van Laere, Sigrid
    Leus, Astrid
    de Mey, Johan
    Fourneau, Catherine
    De Ridder, Filip
    Van Cauteren, Toon
    Willekens, Inneke
    Jani, Jacques C.
    [J]. RADIOLOGY, 2016, 279 (03) : 754 - 761
  • [7] Deterministic edge-preserving regularization in computed imaging
    Charbonnier, P
    BlancFeraud, L
    Aubert, G
    Barlaud, M
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (02) : 298 - 311
  • [8] Cocosco C.A., 1997, Neuroimage, V5, pS425
  • [9] An efficient locally affine framework for the smooth registration of anatomical structures
    Commowick, O.
    Arsigny, V.
    Isambert, A.
    Costa, J.
    Dhermain, F.
    Bidault, F.
    Bondiau, P. -Y.
    Ayache, N.
    Malandain, G.
    [J]. MEDICAL IMAGE ANALYSIS, 2008, 12 (04) : 427 - 441
  • [10] Fetal magnetic resonance imaging: indications, technique, anatomical considerations and a review of fetal abnormalities
    Ertl-Wagner, B
    Lienemann, A
    Strauss, A
    Reiser, MF
    [J]. EUROPEAN RADIOLOGY, 2002, 12 (08) : 1931 - 1940