Abstract
This paper deals with the correction of distortions in EPI acquisitions. Echo-planar imaging (EPI) data is used in functional resonance imaging (fMRI) and in diffusion tensor MRI (dMRI) because of its impressive ability to collect data rapidly. However, these data contain geometrical distortions that degrade the quality of the scans and disturb their interpretation. In this paper, we present a fully automatic 3D registration algorithm to correct these distortions. The method is based on the minimization of a cost function (including mutual information and regularization) with a hierarchical multigrid optimization scheme. We present a numerical evaluation on simulated data and results on real data.
Chapter PDF
Similar content being viewed by others
References
Bastin, M.: Correction of eddy current-induced artefacts in diffusion tensor imaging using iterative cross-correlation. Magnetic Resonance Imaging 17(7), 1011–1024 (1999)
Bookstein, F.: Principal warps: Thin plate splines and the decomposition of deformations. IEEE PAMI 11(6), 567–585 (1989)
Collignon, A., Vanderneulen, D., Suetens, P., Marchal, G.: 3D multi-modality medical image registration using feature space clustering. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 195–204. Springer, Heidelberg (1995)
Collins, D.L., Zijdenbos, A.P., Kollokian, V., Sled, J.G., Kabani, N.J., Holmes, C.J., Evans, A.C.: Design and construction of a realistic digital brain phantom. IEEE TMI 17(3), 463–468 (1998)
Enkelmann, W.: Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences. CVGIP 43(2), 150–177 (1988)
Gaens, T., Maes, F., Vandermeulen, D., Suetens, S.: Non-rigid multimodal image registration using mutual information. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1099–1106. Springer, Heidelberg (1998)
Guimond, A., Roche, A., Ayache, N., Meunier, J.: Multimodal brain warping using the demons algorithm and adaptive intensity correction. Technical Report 3796, INRIA (November 1999), http://www.inria.fr/RRRT/RR-3796.html
Haselgrove, J., Moore, J.: Correction for distortion of echo-planar images used to calculate the apparent diffusion coefficient. Magnetic Resonance in Medecine, 960–964 (1996)
Hellier, P., Barillot, C., Mémin, E., Pérez, P.: Medical image registration with robust multi-grid techniques. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 680–687. Springer, Heidelberg (1999)
Horsfield, M.: Mapping eddy current induced fields for the correction of diffusion weighted echo planar images. Magnetic Resonance Imaging 17(9), 1335–1345 (1999)
Jezzard, P., Clare, S.: Sources of distortions in functional MRI data. Human Brain Mapping 8, 80–85 (1999)
Maintz, J., Meijering, E., Viergever, M.: General multimodal elastic registration based on mutual information. In: Proc. of Medical Imaging: Image Processing, April 1998. SPIE Proceedings, vol. 3338, pp. 144–154 (1998)
Maintz, J., Viergever, M.A.: A survey of medical image registration. Medical Image Analysis 2(1), 1–36 (1998)
Maurer, C.R., Fitzpatrick, J.M.: A review of medical image registration. In Interactive image guided neurosurgery. American Association of Neurological Surgeons, 17–44 (1993)
Mémin, E., Pérez, P.: Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Trans. Image Processing 7(5), 703–719 (1998)
Powell, M.: An efficient method for finding the minimum of a function of several variables without calculating derivatives. The Computer Journal, 155–162 (1964)
Roche, A., Malandain, G., Pennec, X., Ayache, N.: The correlation ratio as a new similarity measure for multimodal image registration. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1115–1124. Springer, Heidelberg (1998)
Studholme, C., Hill, D., Hawkes, D.: An overlap invariant measure of 3D medical image alignment. Pattern Recognition 32, 71–86 (1999)
Terzopoulos, D.: Image analysis using multigrid relaxation methods. IEEE PAMI 8(2), 129–139 (1986)
Van Bemmel, J.H., Musen, M.A.: Handbook of medical informatics. Springer, Heidelberg (1997), http://www.mieur.nl/mihandbook
Viola, P., Wells, W.: Alignment by maximisation of mutual information. In: Proc. ICCV, pp. 15–23 (1995)
West, J., Fitzpatrick, J., et al.: Comparaison and evaluation of retrospective intermodality brain image registration techniques. Journal of Computer Assisted Tomography 21(4), 554–566 (1997)
Woods, R., Mazziotta, J.C., Cherry, S.R.: MRI-PET registration with automated algorithm. Journal of Computer Assisted Tomography 17(4), 536–546 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hellier, P., Barillot, C. (2000). Multimodal Non-rigid Warping for Correction of Distortions in Functional MRI. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_52
Download citation
DOI: https://doi.org/10.1007/978-3-540-40899-4_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41189-5
Online ISBN: 978-3-540-40899-4
eBook Packages: Springer Book Archive