Abstract
A 4D image registration method is proposed for consistent estimation of cardiac motion from MR image sequences. Under this 4D registration framework, all 3D cardiac images taken at different time-points are registered simultaneously, and motion estimated is enforced to be spatiotemporally smooth, thereby overcoming potential limitations of some methods that typically estimate cardiac deformation sequentially from one frame to another, instead of treating the entire set of images as a 4D volume. To facilitate our image matching process, an attribute vector is designed for each point in the image to include intensity, boundary and geometric moment invariants (GMIs). Hierarchical registration of two image sequences is achieved by using the most distinctive points for initial registration of two sequences and gradually adding less-distinctive points for refinement of registration. Experimental results on real data demonstrate good performance of the proposed method in registering cardiac images and estimating motions from cardiac image sequences.
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American Heart Association (1999), Online Available http://www.americanheart.org
Frangi, A.F., Niessen, W.J., Viergever, M.A.: Three-Dimensional Modeling for Functional Analysis of Cardiac Images: A Review. IEEE Trans. Med. Img. 20(1), 1–25 (2001)
Pan, L., Lima, J.A.C., Osman, N.F.: Fast Tracking of Cardiac Motion Using 3D-HARP. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 611–622. Springer, Heidelberg (2003)
Zerhouni, E.A., Parish, D.M., Rogers, W.J., Yang, A., Shapiro, E.P.: Human heart: tagging with MR imaging - a method for noninvasive assessment of myocardial motion. Radiology 169(1), 59–63 (1988)
Shi, P., Sinusas, A.J., Constable, R.T., Duncan, J.S.: Volumetric deformation analysis using mechanics-based data fusion: applications in cardiac motion recovery. International Journal of Computer Vision 35(1), 87–107 (1999)
Prince, J.L., McVeigh, E.R.: Motion Estimation From Tagged MR Image Sequences. IEEE Trans. Medical Imaging 11(2), 238–249 (1992)
Papademetris, X., Sinusas, A.J., Dione, D.P., Duncan, J.S.: Estimation of 3D Left Ventricular Deformation from Echocardiography. Medical Image Analysis 5, 17–28 (2001)
Wang, Y., Chen, Y., Amini, A.A.: Fast LV motion estimation using subspace approximation. IEEE Transactions on Medical Imaging 20, 499–513 (2001)
McEachen, I.J.C., Nehorai, A., Duncan, J.S.: Multiframe Temporal Estimation of Cardiac Nonrigid Motion. IEEE Trans. Image Processing 9(4), 651–665 (2000)
Ledesma-Carbayo, M.J., Kybic, J., Desco, M., Santos, A., Unser, M.: Cardiac Motion Analysis from Ultrasound Sequences Using Non-Rigid Registration. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 889–896. Springer, Heidelberg (2001)
Song, S., Leahy, R.: Computation of 3D velocity fields from 3D cine CT images of a human heart. IEEE Trans. Med. Imag. MI-10, 295–306 (1991)
Chandrashekara, R., Rueckert, D., Mohiaddin, R.: Cardiac Motion Tracking in Tagged MR Images Using a 4D B-spline Motion Model and Nonrigid Image Registration. In: ISBI 2004, pp. 468–471 (2004)
Lin, N., Papademetris, X., Duncan, J.S.: Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 556–563. Springer, Heidelberg (2003)
Perperidis, D., Mohiaddin, R., Rueckert, D.: Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 911–919. Springer, Heidelberg (2004)
Montagnat, J., Delingette, H.: 4D Deformable Models with temporal constraints: application to 4D cardiac image segmentation. Med. Image Analysis 9(1), 87–100 (2005)
Declerck, J., Feldmar, J., Ayache, N.: Definition of a 4D continuous planispheric transformation for the tracking and the analysis of left-ventricle motion. Medical Image Analysis 2(2), 197–213 (1998)
Shen, D., Davatzikos, C.: HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration. IEEE Trans. on Medical Imaging 21(11), 1421–1439 (2002)
Christensen, G.E., Johnson, H.J.: Consistent Image Registration. IEEE TMI 20(7), 568–582 (2001)
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Shen, D., Sundar, H., Xue, Z., Fan, Y., Litt, H. (2005). Consistent Estimation of Cardiac Motions by 4D Image Registration. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_111
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DOI: https://doi.org/10.1007/11566489_111
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