Abstract
This paper presents a new diffeomorphic temporal registration algorithm and its application to motion and strain quantification from a temporal sequence of 3D images. The displacement field is computed by forward eulerian integration of a non-stationary velocity field. The originality of our approach resides in enforcing time consistency by representing the velocity field as a sum of continuous spatiotemporal BSpline kernels. The accuracy of the developed diffeomorphic technique was first compared to a simple pairwise strategy on synthetic US images with known ground truth motion and with several noise levels, being the proposed algorithm more robust to noise than the pairwise case. Our algorithm was then applied to a database of cardiac 3D+t Ultrasound (US) images of the left ventricle acquired from eight healthy volunteers and three Cardiac Resynchronization Therapy (CRT) patients. On healthy cases, the measured regional strain curves provided uniform strain patterns over all myocardial segments in accordance with clinical literature. On CRT patients, the obtained normalization of the strain pattern after CRT agreed with clinical outcome for the three cases.
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Keywords
- Cardiac Resynchronization Therapy
- Registration Algorithm
- Error Magnitude
- Cardiac Resynchronization Therapy Response
- Peak Systolic Strain
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References
Grau, V., Becher, H., Noble, J.: Registration of multiview real-Time 3-D echocardiographic sequences. IEEE Trans. Med. Imag. 26(9), 1154–1165 (2007)
Elen, A., Choi, H., Loeckx, D., Gao, H., Claus, P., Suetens, P., Maes, F., D’hooge, J.: Three-dimensional cardiac strain estimation using spatio-temporal elastic registration of ultrasound images: a feasibility study. IEEE Trans. Med. Imag. 27(11), 1580–1591 (2008)
Kawagishi, T.: Speckle tracking for assessment of cardiac motion and dyssynchrony. Echocardiography 25(10), 1167–1171 (2008)
Ledesma-Carbayo, M., Kybic, J., Desco, M., Santos, A., Suhling, M., Hunziker, P., Unser, M.: Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans. Med. Imag. 24(9), 1113–1126 (2005)
Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. Int. J. Comput. Vision 61(2), 139–157 (2005)
Rueckert, D., Aljabar, P., Heckemann, R.A., Hajnal, J., Hammers, A.: Diffeomorphic Registration using B-Splines. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 702–709. Springer, Heidelberg (2006)
Khan, A., Beg, M.: Representation of time-varying shapes in the large deformation diffeomorphic framework. In: ISBI, pp. 1521–1524. IEEE, Los Alamitos (2008)
Durrleman, S., Pennec, X., Trouvé, A., Gerig, G., Ayache, N.: Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 297–304. Springer, Heidelberg (2009)
Edvardsen, T., Gerber, B.L., Garot, J., Bluemke, D.A., Lima, J.A., Smiseth, O.A.: Quantitative Assessment of Intrinsic Regional Myocardial Deformation by Doppler Strain Rate Echocardiography in Humans: Validation Against Three-Dimensional Tagged Magnetic Resonance Imaging. Circulation 106(1), 50–56 (2002)
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De Craene, M. et al. (2010). Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. MICCAI 2010. Lecture Notes in Computer Science, vol 6362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15745-5_1
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DOI: https://doi.org/10.1007/978-3-642-15745-5_1
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