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

Kuklisova-Murgasova M, Quaghebeur G, Rutherford MA, Hajnal JV, Schnabel JA - Med Image Anal (2012)

Bottom Line: The method incorporates novel intensity matching of acquired 2D slices and robust statistics which completely excludes identified misregistered or corrupted voxels and slices.The best results are obtained when thin-slice data and the correct approximation of the point spread function is used.This paper addresses the need for a comprehensive reconstruction algorithm of 3D fetal MRI, so far lacking in the scientific literature.

View Article: PubMed Central - PubMed

Affiliation: Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK. maria.murgasova@eng.ox.ac.uk

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Overview of the proposed methodology.
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f0010: Overview of the proposed methodology.

Mentions: To correct for motion between slices we use the original scheme proposed by Rousseau et al. (2006) and Jiang et al. (2007). Stacks are first co-aligned using volumetric rigid registration and the first estimate of the volume is reconstructed. Afterwards, each slice is registered to the reconstructed volume separately. Slice-to-volume rigid registration is interleaved with super-resolution reconstruction for a fixed number of iterations, which is determined experimentally. The advantage of this simple scheme is that any existing similarity measure can be used to maximize the quality of the alignment. We chose normalized mutual information (Studholme et al., 1999), as it is independent of the scaling factors and has low sensitivity to low magnitude bias fields, which are typically present in MRI acquired at 1.5 T. An overview of this interleaved scheme is presented in Fig. 2.


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

Kuklisova-Murgasova M, Quaghebeur G, Rutherford MA, Hajnal JV, Schnabel JA - Med Image Anal (2012)

Overview of the proposed methodology.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4067058&req=5

f0010: Overview of the proposed methodology.
Mentions: To correct for motion between slices we use the original scheme proposed by Rousseau et al. (2006) and Jiang et al. (2007). Stacks are first co-aligned using volumetric rigid registration and the first estimate of the volume is reconstructed. Afterwards, each slice is registered to the reconstructed volume separately. Slice-to-volume rigid registration is interleaved with super-resolution reconstruction for a fixed number of iterations, which is determined experimentally. The advantage of this simple scheme is that any existing similarity measure can be used to maximize the quality of the alignment. We chose normalized mutual information (Studholme et al., 1999), as it is independent of the scaling factors and has low sensitivity to low magnitude bias fields, which are typically present in MRI acquired at 1.5 T. An overview of this interleaved scheme is presented in Fig. 2.

Bottom Line: The method incorporates novel intensity matching of acquired 2D slices and robust statistics which completely excludes identified misregistered or corrupted voxels and slices.The best results are obtained when thin-slice data and the correct approximation of the point spread function is used.This paper addresses the need for a comprehensive reconstruction algorithm of 3D fetal MRI, so far lacking in the scientific literature.

View Article: PubMed Central - PubMed

Affiliation: Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK. maria.murgasova@eng.ox.ac.uk

Show MeSH