Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images
We present a method to correct motion in fetal in-utero scan sequences. The proposed approach avoids previously necessary manual segmentation of a region of interest. We solve the problem of non-rigid motion by splitting motion corrupted slices into overlapping patches of finite size. In these patches the assumption of rigid motion approximately holds and they can thus be used to perform a slice-to-volume-based (SVR) reconstruction during which their consistency with the other patches is learned. The learned information is used to reject patches that are not conform with the motion corrected reconstruction in their local areas. We evaluate rectangular and evenly distributed patches for the reconstruction as well as patches that have been derived from super-pixels. Both approaches achieve on 29 subjects aged between 22–37 weeks a sufficient reconstruction quality and facilitate following 3D segmentation of fetal organs and the placenta.
Unable to display preview. Download preview PDF.
- 3.Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate data analysis, vol. 6. Pearson Prentice Hall, Upper Saddle River (2006)Google Scholar
- 4.Kainz, B., Keraudren, K., Kyriakopoulou, V., Rutherford, M., Hajnal, J.V., Rueckert, D.: Fast Fully Automatic Brain Detection in Foetal MRI Using Dense Rotation Invariant Image Descriptors. In: IEEE ISBI 2014, pp. 1230–1233 (2014)Google Scholar
- 5.Kainz, B., Steinberger, M., Wein, W., Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T.K., Aljabar, P., Rutherford, M., Hajnal, J., Rueckert, D.: Fast Volume Reconstruction from Motion Corrupted Stacks of 2D Slices. IEEE Trans. Med. Imaging 34(9), 1901–1913 (2015)CrossRefGoogle Scholar
- 6.Kainz, B., Malamateniou, C., Murgasova, M., Keraudren, K., Rutherford, M., Hajnal, J.V., Rueckert, D.: Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part II. LNCS, vol. 8674, pp. 284–291. Springer, Heidelberg (2014)Google Scholar