EPFL | Biomedical Imaging Group | Medical Segmentation

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 Twenty-Second 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.

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AUTHOR="Schmitter, D. and Gaudet-Blavignac, C. and Piccini, D. and
	Unser, M.",
TITLE="New Parametric {3D} Snake for Medical Segmentation of Structures
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BOOKTITLE="Proceedings of the 2015 Twenty-Second {IEEE} International
	Conference on Image Processing ({ICIP'15})",
YEAR="2015",
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address="Qu{\'{e}}bec QC, Canada",
month="September 27-30,",
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note="Best student paper award, paper no.\ TEC-P21.1")

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