Abstract
Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of temporal changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.
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References
Aljabar, P., Bhatia, K.K., Hajnal, J.V., Boardman, J., Srinivasan, L., Rutherford, M., Dyet, L., Edwards, D., Rueckert, D.: Analysis of growth in the developing brain using non-rigid registration. In: IEEE International Symposium on Biomedical Imaging (page in press, 2006)
Amini, A.A., Chen, Y., Curwen, R.W., Mani, V., Sun, J.: Coupled B-snake grids and constrained thin-plate splines for analysis of 2D tissue deformations from tagged MRI. IEEE Transactions on Medical Imaging 17(3), 344–356 (1998)
Amini, A.A., Chen, Y., Elayyadi, M., Radeva, P.: Tag surface reconstruction and tracking of myocardial beads from SPAMM-MRI with parametric B-spline surfaces. IEEE Transactions on Medical Imaging 20(2), 94–103 (2001)
Amini, A.A., Curwen, R.W., Gore, J.C.: Snakes and splines for tracking non-rigid heart motion. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1065, pp. 251–261. Springer, Heidelberg (1996)
Axel, L., Dougherty, L.: Heart wall motion: Improved method of spatial modulation of magnetization for MR imaging. Radiology 172(2), 349–360 (1989)
Axel, L., Dougherty, L.: MR imaging of motion with spatial modulation of magnetization. Radiology 171(3), 841–845 (1989)
Botting, N.F.: Psychological and educational outcome of very low birthweight children at 12 years. PhD thesis, University of Liverpool (1997)
Catmull, E., Clark, J.: Recursively generated B-spline surfaces on arbitrary topological meshes. Computer Aided Design 10(6), 350–355 (1978)
Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.: Analysis of myocardial motion in tagged MR images using nonrigid image registration. In: Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing, pp. 1168–1179 (2002)
Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.: Analysis of myocardial motion and strain patterns using a cylindrical B-spline transformation model. In: Ayache, N., Delingette, H. (eds.) IS4TM 2003. LNCS, vol. 2673. Springer, Heidelberg (2003)
Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.: Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration. IEEE Transactions on Medical Imaging 23(10), 1245–1250 (2004)
Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.: Cardiac motion tracking in tagged MR images using a 4D B-spline motion model and nonrigid image registration. In: Isbi, Arlington, VA, USA, April 2004. IEEE, Los Alamitos (2004)
Chandrashekara, R., Rao, A., Sanchez-Ortiz, G.I., Mohiaddin, R.H., Rueckert, D.: Construction of a statistical model for cardiac motion analysis using nonrigid image registration. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 599–610. Springer, Heidelberg (2003)
Doo, D., Sabin, M.A.: Behaviour of recursive subdivision surfaces near extraordinary points. Computer Aided Design 10(6), 356–360 (1978)
Dougherty, L., Asmuth, J.C., Blom, A.S., Axel, L., Kumar, R.: Validation of an optical flow method for tag displacement estimation. IEEE Transactions on Medical Imaging 18(4), 359–363 (1999)
Thom, T., et al.: Heart disease and stroke statistics – 2006 update: A report from the american heart association statistics committee and stroke statistics subcommittee. Circulation 113, e85–e151 (2006)
Fishcer, S.E., McKinnon, G.C., Maier, S.E., Boesiger, P.: Improved myocardial tagging contrast. Magnetic Resonance in Medicine 30(2), 191–200 (1993)
Fox, N.C., Crum, W.R., Scahill, R.I., Stevens, J.M., Janssen, J.C., Rossor, M.N.: Imaging of onset and progression of Alzheimer’s disease with voxel-compression mapping of serial magnetic resonance images. Lancet 358, 201–205 (2001)
Freeborough, P.A., Fox, N.C.: Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images. Journal of Computer Assisted Tomography 22(5), 838–843 (1998)
Gupta, S.N., Prince, J.L.: On variable brightness optical flow for tagged MRI. In: Information Processing in Medical Imaging, pp. 323–334. Kluwer, Dordrecht (1995)
Hajnal, J.V., Hill, D.L.G., Hawkes, D.J.: Medical Image Registration. CRC Press, Boca Raton (2001)
Hajnal, J.V., Saeed, N., Soar, E.J., Oatridge, A., Young, I.R., Bydder, G.M.: A registration and interpolation procedure for subvoxel matching of serially acquired MR images. Journal of Computer Assisted Tomography 19(2), 289–296 (1995)
Hajnal, J.V., Saeed, N., Oatridge, A., Williams, E.J., Young, I.R., Bydder, G.M.: Detection of subtle brain changes using subvoxel registration and subtraction of serial MR images. Journal of Computer Assisted Tomography 19(5), 677–691 (1995)
Kramer, C.M., Reichek, N., Ferrari, V.A., Theobald, T., Dawson, J., Axel, L.: Regional heterogeneity of function in hypertrophic cardiomyopathy. Circulation 90(1), 186–194 (1994)
MacCracken, R., Joy, K.I.: Free-form deformations with lattices of arbitrary topology. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 181–188. ACM Press, New York (1996)
Maintz, J.B.A., Viergever, M.A.: A survey of medical image registration. Medical Image Analysis 2(1), 1–36 (1998)
Marlow, N., Wolke, D., Bracewell, M.A., Samara, M.: Neurologic and developmental disability at six years of age after extremely preterm birth. New England Journal of Medicine 352(1), 9–19 (2005)
O’Dell, W.G., Moore, C.C., Hunter, W.C., Zerhouni, E.A., McVeigh, E.R.: Three-dimensional myocardial deformations: Calculation with displacement field fitting to tagged MR images. Radiology 195(3), 829–835 (1995)
Osman, N.F., Kerwin, W.S., McVeigh, E.R., Prince, J.L.: Cardiac motion tracking using cine harmonic phase (HARP) magnetic resonance imaging. Magnetic Resonance in Medicine 42, 1048–1060 (1999)
Osman, N.F., McVeigh, E.R., Prince, J.L.: Imaging heart motion using harmonic phase MRI. IEEE Transactions on Medical Imaging 19(3), 186–202 (2000)
Palmon, L.C., Reichek, N., Yeon, S.B., Clark, N.R., Brownson, D., Hoffman, E., Axel, L.: Intramural myocardial shortening in hypertensive left ventricular hypertrophy with normal pump function. Circulation 89(1), 122–131 (1994)
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)
Paus, T., Zijdenbos, A., Worsley, K., Collins, D.L., Blumenthal, J., Giedd, J.N., Rapoport, J.L., Evans, A.C.: Structural maturation of neural pathways in children and adolescents: In vivo study. Science 283, 1908–1911 (1999)
Petitjean, C., Rougon, N., Preteux, F., Cluzel, P., Grenier, P.: Measuring myocardial deformation from MR data using information-theoretic nonrigid registration. In: Proceedings of the Second International Workshop on Functional Imaging and Modeling of the Heart, Lyon, France, June 2003, pp. 162–172 (2003)
Prince, J.L., McVeigh, E.R.: Optical flow for tagged MR images. In: Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing, pp. 2441–2444 (1991)
Rey, D., Subsol, G., Delingette, H., Ayache, N.: Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis. In: Kuba, A., Sámal, M., Todd-Pokropek, A. (eds.) IPMI 1999. LNCS, vol. 1613, pp. 154–167. Springer, Heidelberg (1999)
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Transactions on Medical Imaging 18(8), 712–721 (1999)
Studholme, C., Cardenas, V., Schuff, N., Rosen, H., Miller, B., Weiner, M.: Detecting spatially consistent structural differences in alzheimer’s and fronto temporal dementia using deformation morphometry. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 41–48. Springer, Heidelberg (2001)
Studholme, C., Hill, D.L.G., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32(1), 71–86 (1998)
Thompson, P.M., Giedd, J.N., Woods, R.P., MacDonald, D., Evans, A.C., Toga, A.W.: Growth patterns in the developing brain detected by continuum mechanical tensor maps. Nature 404, 190–193 (2000)
Thompson, P.M., Vidal, C., Giedd, J.N., Gochman, P., Blumenthal, J., Nicholson, R., Toga, A.W., Rapoport, J.L.: Mapping adolenscent brain change reveals dynamic wave of accelerated grey matter loss in very early-onset schizophrenia. Nature 98(20), 11650–11655 (2001)
Thomson, P.M., Cannon, T.D., Narr, K.L., van Erp, T., Poutanen, V.-P., Huttunen, M., Lönnqvist, J., Standertskjöld-Nordenstam, C.-G., Kaprio, J., Khaledy, M., Dali, R., Zoumalan, C.I., Toga, A.W.: Genetic influences on brain structure. Nature Neuroscience 4(12), 1–6 (2001)
Tustison, N.J., Amini, A.A.: Biventricular myocardial strains via nonrigid registration of anfigatomical NURBS models. IEEE Transactions on Medical Imaging 25(1), 94–112 (2006)
Wood, N.S., Marlow, N., Costeloe, K., Gibson, A.T., Wilkinson, W.R.: Neurologic and developmental disability after extremely preterm birth. New England Journal of Medicine 343(6), 429–430 (2000)
Young, A.A., Kraitchman, D.L., Dougherty, L., Axel, L.: Tracking and finite element analysis of stripe deformation in magnetic resonance tagging. IEEE Transactions on Medical Imaging 14(3), 413–421 (1995)
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)
Zitová, B., Flusser, J.: Image registration methods: a survey. Image Vision Comput. 21(11), 977–1000 (2003)
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Rueckert, D. et al. (2006). Quantification of Growth and Motion Using Non-rigid Registration. In: Beichel, R.R., Sonka, M. (eds) Computer Vision Approaches to Medical Image Analysis. CVAMIA 2006. Lecture Notes in Computer Science, vol 4241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11889762_5
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DOI: https://doi.org/10.1007/11889762_5
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