Abstract
In diffusion tensor imaging the calculation of functional information is limited by head movement and eddy current-induced image distortion. In this paper the application of image registration for distortion correction is investigated. In particular, a 3D affine and a dedicated transformation which is adapted to the type of distortion and the similarity measures mutual information and local correlation are compared to each other. The registration results are quantitatively evaluated by analyzing their consistency properties. Visual inspection shows that registration generally improves the quality of the functional information. The consistency tests reveal that both transformations provide similar registration results which is remarkable since the dedicated transformation does not take advantage of modeling of the underlying imaging physics. Furthermore, it is shown that local correlation similarity is an interesting alternative to mutual information. The registration of a DTI series with local correlation is more consistent and takes only about one minute for calculation.
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References
Rowley, H.A., Grant, P.E., Roberts, T.P.: Diffusion MR imaging. Neuroimaging Clinics of North America 9, 343–361 (1999)
Jaermann, T., Crelier, G., Pruessmann, K.P., Golay, X., Netsch, T., van Muiswinkel, A., Mori, S., van Zijl, P.C., Kollias, S., Boesiger, P.: SENSE-DTI at 3 Tesla. Submitted to Magnetic Resonance in Medicine (2003)
Jezzard, P., Barnett, A.S., Pierpaoli, C.: Characterization of and correction fro eddy current artifacts in echo planar diffusion imaging. Magnetic Resonance in Medicine 39, 801–812 (1998)
Bammer, R., Auer, M.: Correction of eddy-current induced image warping in diffusion-weighted single-shot EPI using constrained non-rigid mutual information image registration. In: Proceedings of the ISMRM, Glasgow, p. 508 (2001)
Mangin, J.F., Poupon, C., Clark, C., Le Bihan, D., Bloch, I.: Eddy-current distortion correction and robust tensor estimation for MR diffusion imaging. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, p. 186. Springer, Heidelberg (2001)
Skare, S., Andersson, J.L.: Simultanous correction of eddy currents and motion in DTI using the residual error of the diffusion tensor: Comparison with mutual information. In: Proceedings of the ISMRM, Hawaii, p. 508 (2002)
Andersson, J.L., Skare, S.: A model-based method for retrospective correction of geometric distortions in diffusion-weighted EPI. NeuroImage 16, 177–199 (2002)
Netsch, T., Rösch, P., van Muiswinkel, A., Weese, J.: Towards real-time multimodality 3-D medical image registration. In: Eighth International Conference on Computer Vision, Vancouver, BC, vol. 1, pp. 718–725 (2001)
Holden, M., Hill, D.L., Denton, E.R., Jarosz, J.M., Cox, T.C., Rohlfing, T., Goodey, J., Hawkes, D.J.: Voxel similarity measures for 3-D serial MR brain image registration. IEEE Transactions on Medical Imaging 19, 94–102 (2000)
Weese, J., Rösch, P., Netsch, T., Blaffert, T., Quist, M.: Gray-value based registration of CT and MR images by maximization of local correlation. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 656–663. Springer, Heidelberg (1999)
Netsch, T., Weese, J., Rösch, P., van Muiswinkel, A., Desmedt, P.: Grey valuebased 3-D registration of functional MRI time-series. In: Image Processing. SPIE Proceedings, vol. 3979, pp. 1148–1159 (2000)
Studholme, C., Hill, D.L., Hawkes, D.J.: Automated 3-D registration of MR and CT images of the head. Medical Image Analysis 1, 163–175 (1996)
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© 2003 Springer-Verlag Berlin Heidelberg
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Netsch, T., van Muiswinkel, A. (2003). Image Registration for Distortion Correction in Diffusion Tensor Imaging. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_18
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DOI: https://doi.org/10.1007/978-3-540-39701-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20343-8
Online ISBN: 978-3-540-39701-4
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