Sciweavers

Share
MICCAI
2004
Springer

Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques

9 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameters. A closed 3D surface propagates from an initial position towards the desired region boundaries through an iterative evolution of a specific 4D implicit function. Information about the regions is involved by estimating, at each iteration, parameters of probability density functions. The method can be applied to different kinds of data, e.g for segmenting anatomical structures in 3D magnetic resonance images and angiography. Experimental results of these two types of data are discussed.
Aly A. Farag, Hossam S. Hassan
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2004
Where MICCAI
Authors Aly A. Farag, Hossam S. Hassan
Comments (0)
books