
Proceedings Paper
Skeleton-based refinement of multi-material volumetric meshesFormat | Member Price | Non-Member Price |
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Paper Abstract
Accurate multi-material mesh generation is necessary for many applications, e.g. image-guided surgery, in which
precision is important. For this application, it is necessary to enhance conventional algorithms with physiological
information that adds accuracy to the results. There are several approaches working on the generation of such
meshes. However, state of the art approaches show inaccuracies in the areas in which thin structures are,
e.g. liver vasculature. These algorithms are not able to detect the vessels in areas in which they are narrow
and they assign their elements to wrong materials, e.g., parenchyma. We propose to extend two state of the
art algorithms, namely that by Boltcheva et al. and that by Pons et al. and enhance them making use of
the skeleton of these structures to solve this problem. By analyzing the mesh generated by the aforementioned
algorithms one can find several intersections between the mesh belonging to the vessels and the skeleton, showing
that some elements must be mismatched. We evaluate the proposed algorithm in 23 clinical datasets of the liver,
in which we previously segmented parenchyma and vessels. For quantitative evaluation, the meshes generated
with and without skeleton information are compared. The improvements are shown by means of intersection
number, volume and length differences of the vasculature mesh using the different methods. The results show
an improvement of 65% for the number of intersections, 4% for the volume and 22% for the length.
Paper Details
Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866936 (13 March 2013); doi: 10.1117/12.2006769
Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)
PDF: 6 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866936 (13 March 2013); doi: 10.1117/12.2006769
Show Author Affiliations
Cristina Oyarzun Laura, Fraunhofer IGD (Germany)
Pablo Bueno Plaza, Fraunhofer IGD (Germany)
Pablo Bueno Plaza, Fraunhofer IGD (Germany)
Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)
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