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Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography

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Functional Imaging and Modeling of the Heart (FIMH 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7945))

Abstract

Different B-spline grid topologies of free-form-deformation (FFD) models have been proposed for 3D strain estimation in echocardiography: classical FFD models are defined in Cartesian space (CFFD), whereas others adapt an anatomically oriented B-spline grid (AFFD) which allow to model the cardiac motion in a more physiological way. The practical advantage of the latter grid topology remains to be proven for echocardiography. In this work, the performance of both models was therefore directly compared using simulated data. Both motion and strain accuracy were competitive for the CFFD and AFFD model: mean error=0.44mm vs 0.48mm, strain error=9.0% vs 7.3% (radial), 2.4% vs 3.1% (longitudinal), 1.9% vs 2.2% (circumferential). However, moving to an anatomical grid topology appears better suited for cardiac deformation estimation as model complexity and computation time was reduced considerably (1051s vs 595s).

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References

  1. Elen, A., Choi, H., Loeckx, D., Gao, H., Claus, P., Suetens, P., Maes, F., D’hooge, J.: 3D cardiac strain estimation using spatio-temporal elastic registration of US images: a feasibility study. IEEE Trans. Med. Imaging 27(11), 1580–1591 (2008)

    Article  Google Scholar 

  2. Heyde, B., Cygan, S., Choi, H., Lesniak-Plewinska, B., Barbosa, D., Elen, A., Claus, P., Loeckx, D., Kaluzynski, K., D’hooge, J.: Regional cardiac motion and strain estimation in three-dimensional echocardiography: A validation study in thick-walled univentricular phantoms. IEEE Trans. Ultrason. Freq. Control 59(4), 668–682 (2012)

    Article  Google Scholar 

  3. De Craene, M., Piella, G., Camara, O., Duchateau, N., Silva, E., Doltra, A., D’hooge, J., Brugada, J., Sitges, M., Frangi, A.: Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography. Med. Image Analysis 16(2), 427–450 (2012)

    Article  Google Scholar 

  4. Chandrashekara, R., Mohiaddin, R., 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, pp. 88–99. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Deng, X., Denney, T.: Three-dimensional myocardial strain reconstruction from tagged MRI using a cylindrical B-spline model. IEEE Trans. Med. Imaging 23(7), 861–867 (2004)

    Article  Google Scholar 

  6. Li, J., Denney, T.: Left ventricular motion reconstruction with a prolate spheroidal B-spline model. Phys. Med. Biol. 51(3), 517–537 (2006)

    Article  Google Scholar 

  7. Lin, N., Duncan, J.: Generalized robust point matching using an extended free-form deformation model: application to cardiac images. In: ISBI - International Symposium on Biomedical Imaging, USA, April 15-18, vol. 1, pp. 320–323 (2004)

    Google Scholar 

  8. Heyde, B., Barbosa, D., Claus, P., Maes, F., D’hooge, J.: Three-dimensional cardiac motion estimation based on non-rigid image registration using a novel transformation model adapted to the heart. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2012. LNCS, vol. 7746, pp. 142–150. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. De Craene, M., Allain, P., Gao, H., Prakosa, A., Marchesseau, S., Somphone, O., Hilpert, L., Manrique, A., Delingette, H., Makram-Ebeid, S., Villain, N., D’hooge, J., Sermesant, M., Saloux, E.: Computational and physical phantom setups for the second cardiac motion analysis challenge (cMAC2). In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2012. LNCS, vol. 7746, pp. 125–133. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Kybic, J., Unser, M.: Fast parametric elastic image registration. IEEE Trans. Image Process. 12(11), 1427–1442 (2003)

    Article  Google Scholar 

  11. Byrd, R., Lu, P., Nocedal, J., Zhu, C.: A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific Computing 16(5), 1190–1208 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  12. Rueckert, D., Sonoda, L., Hill, D., Leach, M., Hawkes, D.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712–721 (1999)

    Article  Google Scholar 

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Heyde, B., Barbosa, D., Claus, P., Maes, F., D’hooge, J. (2013). Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_37

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  • DOI: https://doi.org/10.1007/978-3-642-38899-6_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38898-9

  • Online ISBN: 978-3-642-38899-6

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