Abstract
A mathematical formulation for intensity-based slice-to-volume registration is proposed. The approach is flexible and accommodates various regularization schemes, similarity measures, and optimizers. The framework is evaluated by registering 2D and 3D cardiac magnetic resonance (MR) images obtained in vivo, aimed at real-time MR-guided applications. Rigid-body and affine transformations are used to validate the parametric model. Target registration error (TRE), Jaccard, and Dice indices are used to evaluate the algorithm and demonstrate the accuracy of the registration scheme on both simulated and clinical data. Registration with the affine model appeared to be more robust than with the rigid model in controlled cases. By simply extending the rigid model to an affine model, alignment of the cardiac region generally improved, without the need for complex dissimilarity measures or regularizers.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Pushparajah, K., Tzifa, A., Razavi, R.: Cardiac MRI catheterization: a 10-year single institution experience and review. Intervent. Cardiol. 6, 335–346 (2014)
Helen, X., Lasso, A., Fedorov, A., Tuncali, K., Tempany, C., Fichtinger, G.: Multi-slice-to-volume registration for MRI-guided transperineal prostate biopsy. Int. J. CARS 10(1), 563–572 (2015)
Smolíková, R., Wachowiak, M.P., Drangova, M.: Registration of fast cine cardiac MR slices to 3D preprocedural images: toward real-time registration for MRI-guided procedures. In: Proceedings of SPIE, vol. 5370, pp. 1195–1205, May 2004
Xu, R., Wright, G.A.: Registration of real-time and prior imaging data with applications to MR guided cardiac interventions. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2014. LNCS, vol. 8896, pp. 265–274. Springer, Cham (2015). doi:10.1007/978-3-319-14678-2_28
Modersitzki, J.: FAIR: Flexible Algorithms for Image Registration. SIAM, Philadelphia (2009)
Nocedal, J., Wright, S.J.: Numerical Optimization, 2nd edn. Springer, New York (2006)
Ardeshir Goshtasby, A.: 2-D and 3-D Image Registration. Wiley Press, New York (2005)
Acknowledgments
This research was supported in part by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant for M. Ebrahimi. We would like to thank Drs. Graham Wright and Robert Xu of Sunnybrook Research Institute, Toronto, Canada, for valuable discussions and providing the MR data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Ma, L.W.L., Ebrahimi, M. (2017). Slice-to-Volume Image Registration Models for MRI-Guided Cardiac Procedures. In: Pop, M., Wright, G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science(), vol 10263. Springer, Cham. https://doi.org/10.1007/978-3-319-59448-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-59448-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59447-7
Online ISBN: 978-3-319-59448-4
eBook Packages: Computer ScienceComputer Science (R0)