Abstract
We propose a mathematical formulation aimed at parametric intensity-based registration of a deformed 3D volume to a 2D slice. The approach is flexible and can accommodate various regularization schemes, similarity measures, and optimizers. We evaluate the framework on 2D-3D registration experiments of in vivo cardiac magnetic resonance imaging (MRI) aimed at image-guided surgery applications that use of real-time MRI as a visualization tool. An affine transformation is used to demonstrate this parametric model. Target registration error, Jaccard and Dice indices are used to validate the algorithm and demonstrate the accuracy of the registration scheme on both simulated and clinical data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mozaffarian, D., et al.: Heart disease and stroke statistics - 2015 update: a report from the american heart association. Circulation 131, e29–e322 (2015)
The Public Health Agency of Canada: Tracking Heart Disease and Stroke in Canada (2009)
Koplan, B.A., Stevenson, W.G.: Ventricular tachycardia and sudden cardiac death. Mayo. Clin. Proc. 84, 289–297 (2009)
Kokolis, S., Clark, L.T., Kokolis, R., Kassotis, J.: Ventricular arrhythmias and sudden cardiac death. Prog. Cardiovasc. Dis. 48, 426–444 (2006)
Lardo, A.C.: Real-time magnetic resonance imaging: diagnostic and interventional applications. Pediatr. Cardiol. 21, 80–98 (2000)
Rhode, K.S., Hill, D.L.G., Edwards, P.J., et al.: Registration and tracking to integrate X-Ray and MR images in an XMR facility. IEEE Trans. Med. Imag. 22, 1369–1378 (2003)
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, Heidelberg (2015)
SmolÃková, 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 the SPIE 5370, Medical Imaging 2004: Image Processing, pp. 1195–1205. SPIE, Bellingham (2004)
SmolÃková-Wachowiak, R., Wachowiak, M.P., Fenster, A., Drangova, M.: Registration of two-dimensional cardiac images to preprocedural three-dimensional images for interventional applications. J. Magn. Reson. Im. 22, 219–228 (2005)
Modersitzki, J.: Numerical Methods for Image Registration. Oxford U. Press, Oxford (2004)
Modersitzki, J.: FAIR: Flexible Algorithms for Image Registration. SIAM, Philadelphia (2009)
Haber, E., Modersitzki, J.: A multilevel method for image registration. SIAM J. Sci. Comput. 27, 1594–1607 (2006)
Nocedal, J., Wright, S.J.: Numerical Optimization, 2nd edn. Springer, New York (2006)
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
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Ma, L.W.L., Ebrahimi, M. (2016). A Flexible 2D-3D Parametric Image Registration Algorithm for Cardiac MRI. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_74
Download citation
DOI: https://doi.org/10.1007/978-3-319-41501-7_74
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41500-0
Online ISBN: 978-3-319-41501-7
eBook Packages: Computer ScienceComputer Science (R0)