EPFL
 Biomedical Imaging GroupSTI
EPFL
  Publications
English only   BIG > Publications > Medical Segmentation


 CONTENTS
 Home Page
 News & Events
 People
 Publications
 Tutorials and Reviews
 Research
 Demos
 Download Algorithms

 DOWNLOAD
 PDF
 Postscript
 All BibTeX References

New Parametric 3D Snake for Medical Segmentation of Structures with Cylindrical Topology

D. Schmitter, C. Gaudet-Blavignac, D. Piccini, M. Unser

Best student paper award, Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP'15), Québec QC, Canada, September 27-30, 2015, paper no. TEC-P21.1.



We propose a new parametric 3D snake with cylindrical topology. Its construction is based on interpolatory basis functions which facilitates user-interaction because the control points of the snake directly lie on the surface of the deformable cylinder. We prove that the basis functions exactly reproduce a cylinder and propose a new parametrization as a tensor-product spline surface. We provide explicit formulas for the energy function based on Green's theorem that speed up the computation of the optimization algorithm. We have implemented the proposed framework as a freely available open-source plugin for the bioimaging platform Icy. Its utility has been tested on phantom data as well as on real 3D data to segment the spinal cord and the descending aorta.


@INPROCEEDINGS(http://bigwww.epfl.ch/publications/schmitter1504.html,
AUTHOR="Schmitter, D. and Gaudet-Blavignac, C. and Piccini, D. and
        Unser, M.",
TITLE="New Parametric {3D} Snake for Medical Segmentation of Structures
        with Cylindrical Topology",
BOOKTITLE="Proceedings of the 2015 {IEEE} International Conference on
        Image Processing ({ICIP'15})",
YEAR="2015",
editor="",
volume="",
series="",
pages="",
address="Qu{\'{e}}bec QC, Canada",
month="September 27-30,",
organization="",
publisher="",
note="paper no.\ TEC-P21.1, Best student paper award")

© 2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.