Abstract
In this paper we present an efficient and robust vertebra segmentation algorithm for CT data. It proved reliable even for cases with damaged vertebrae or missing intervertebral discs. The resulting segmentation is then used to define the corresponding regions of interest in a piecewise rigid registration of the spine between CT and MR datasets of the same patient. The resulting deformation field has been extended to the surrounding soft tissue by smooth interpolation.
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
Preview
Unable to display preview. Download preview PDF.
References
Zitova B, Flusser J. Image registration methods: a survey. Image and Vision Computing 2003;21(11):977–1000.
Pham DL, Xu C, Prince JL. Current Methods in Medical Image Segmentation. Annual Review of Biomedical Engineering 2000;2:315–337.
Benameur S, Mignotte M, et al. 3D/2D registration and segmentation of scoliotic vertebrae using statistical models. Comput Med Imaging Graph 2003;27:312–37.
Hu Y, Haynor DR. Multirigid registration of MR and CT images of the cervical spine. In: Medical Imaging 2004: Image Processing. vol. 5370; 2004. p. 1527–1538.
Zamora G, Sari-Sarrafa H, Long R. Hierarchical Segmentation of Vertebrae from X-ray Images. In: Proc. of SPIE Medical Imaging-Image Processing; 2003.
Wang LI. Segmentation of Bone in Computed Tomography Images Using Contour Coherency. Master’s thesis. Queen’s University, Kingston, Ontario, Canada; 2004.
Viola P, Wells WM. Alignment by maximization of mutual information. In: Proc. of ICCV. ISBN 0-8186-7042-8. IEEE Computer Society; 1995. p. 16–23.
Maes F, Collignon A, Vandermeulen D, Marchal G, Suetens P. Multi-modality image registration by maximization of mutual information. Proc IEEE Workshop Mathematical Methods in Biomedical Image Analysis 1996;p. 14–22.
Tsao J. Interpolation Artifacts in Multimodality Image Registration Based on Maximization of Mutual Information. IEEE Trans Med Imag 2003;22(7):854–864.
Andronache A, Cattin P, Székely G. Adaptive Subdivision for Hierarchical Nonrigid Registration of Multi-modal Images Using Mutual Information. In: MICCAI. vol. 3750. Springer-Verlag GmbH; 2005. p. 976–83.
Little JA, Hill DLG, Hawkes DJ. Deformations Incorporating Rigid Structures. Computer Vision Image Understanding 1997;66(2):223–232.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Čech, P., Andronache, A., Wang, L., Székely, G., Cattin, P. (2006). Piecewise Rigid Multimodal Spine Registration. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_43
Download citation
DOI: https://doi.org/10.1007/3-540-32137-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32136-1
Online ISBN: 978-3-540-32137-8
eBook Packages: Computer Science and Engineering (German Language)