Technical Program

Paper Detail

Paper:	TH-PM-PS3.23
Session:	Cardiac and Vascular Imaging
Time:	Thursday, April 6, 15:20 - 16:40
Presentation:	Poster
Title:	Robust 3-D Modeling of Tumor Microvasculature Using Superellipsoids
Authors:	James Tyrrell; Rensselaer Polytechnic Institute
	Emmanuelle di Tomaso; MGH/HMS
	Ricky Tong; MGH/HMS
	Edward Brown; MGH/HMS
	Rakesh Jain; MGH/HMS
	Badrinath Roysam; Rensselaer Polytechnic Institute
Abstract:	This paper presents automated methods for robust modeling and analysis of 3-D tumor microvasculature. Our methodology uses a \textit{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 scale-space, 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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