Sciweavers

CVBIA
2005
Springer
14 years 6 months ago
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling
Abstract. Digital subtraction angiography (DSA) reconstructions and 3D Magnetic Resonance Angiography (MRA) are the modalities of choice for diagnosis of vascular diseases. However...
Charles Florin, James Williams, Ali Khamene, Nikos...
ICIAP
2001
Springer
15 years 17 days ago
Representing Volumetric Vascular Structures Using Curve Skeletons
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the image...
Gabriella Sanniti di Baja, Ingela Nyström, St...
ISBI
2006
IEEE
15 years 1 months ago
Efficient 3-D adaptive filtering for medical image enhancement
Tensor based orientation adaptive filtering, an explicit methodology for anisotropic filtering, constitutes a flexible framework for medical image enhancement. The technique featu...
Örjan Smedby, Björn Svensson, Hans Knuts...
ICIP
2000
IEEE
15 years 2 months ago
Accurate Detection of 3D Tubular Tree Structures
Spatial resolution of Magnetic Resonance Angiography (MRA) makes it a powerful tool for diagnosis and surgical planning. However, image interpretation and visualization tools are ...
Nicolas Flasque, Michel Desvignes, Jean-Marc Const...
ICIP
2002
IEEE
15 years 2 months ago
Analysis of blood vessel topology by cubical homology
In this note, we segment and topologically classify brain vessel data obtained from magnetic resonance angiography (MRA). The segmentation is done adaptively and the classificatio...
Konstantin Mischaikow, Pawel Pilarczyk, William D....
ICIP
2003
IEEE
15 years 2 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
CVPR
2000
IEEE
15 years 2 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...