Robust 3-D modeling of tumor microvasculature using superellipsoids
Tyrrell, J.A.
Roysam, B.
di Tomaso, E.
Tong, R.
Brown, E.B.
Jain, R.K.
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY
This paper appears in: Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on Publication Date: 6-9 April 2006
On page(s):
185
- 188
Location: Arlington, VA
ISBN: 0-7803-9576-X
Digital Object Identifier: 10.1109/ISBI.2006.1624883
Current Version Published: 2006-05-08
Abstract
This paper presents automated methods for robust modeling and analysis of 3-D tumor microvasculature. Our methodology uses a cylindroidal superellipsoid to model localized segments of vasculature. The proposed vessel model has an explicit, low-order parameterization, allowing for joint estimation of boundary and centerline information, thereby approximating the medial axis. Further, this explicit parameterization provides a geometric framework for traversing vessels in a directed manner. Topological information like branch point location and connectivity is provided as a side effect. The proposed methodology behaves quite well across scalespace, shows a high degree of insensitivity to adjacent structures and implicitly handles branching. Exemplar results are presented from a pre-clinical study of tumor microvasculature in mice
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