Current visualization methods for large volume angiograms share the difficulty of having to display depth information using conventional two-dimensional screens, while static viewing conditions between two consecutive rotations are often required. This thesis presents new directions towards the interactive display of and navigation through cerebral vessel networks.To reduce the computational load and storage requirements; a method is developed to extract a centerline representation of the vessel network from volume images. Shape attributes such as the position of the center point as well as the cross-sectional size, tangent, curvature, torsion and bifurcation of the vessel, are either contained in the representation or can be obtained from ...
b a c d Fig. 1. Bifurcation of the human abdominal aorta. (a) shows a 3D direct volume rendering of ...
Innovative scanning technologies such as computed X-ray tomography (CT), magnetic resonance imaging ...
Teaser Figure: Left: Brain, visualized using silhouettes, the lesion’s spatial depth is displayed us...
Current visualization methods of volume angiograms are limited in their ability to display vessel co...
Abstract. We describe a force feedback scheme that is able to provide for haptic depth perception fo...
We describe a force feedback scheme that is able to provide for haptic depth perception for use duri...
Abstract—The effective visualization of vascular structures is critical for diagnosis, surgical plan...
Recently, medical image visualization has become a hot research topic and many novel ideas have been...
Automated processing and visualization of vascular structures is a common task in medical imaging. M...
We have developed an experimental medical volume visualization system supporting head-tracked stereo...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
Abstract—We present real-time vascular visualization methods, which extend on illustrative rendering...
We present real-time vascular visualization methods, which extend on illustrative rendering techniqu...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
b a c d Fig. 1. Bifurcation of the human abdominal aorta. (a) shows a 3D direct volume rendering of ...
Innovative scanning technologies such as computed X-ray tomography (CT), magnetic resonance imaging ...
Teaser Figure: Left: Brain, visualized using silhouettes, the lesion’s spatial depth is displayed us...
Current visualization methods of volume angiograms are limited in their ability to display vessel co...
Abstract. We describe a force feedback scheme that is able to provide for haptic depth perception fo...
We describe a force feedback scheme that is able to provide for haptic depth perception for use duri...
Abstract—The effective visualization of vascular structures is critical for diagnosis, surgical plan...
Recently, medical image visualization has become a hot research topic and many novel ideas have been...
Automated processing and visualization of vascular structures is a common task in medical imaging. M...
We have developed an experimental medical volume visualization system supporting head-tracked stereo...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
Abstract—We present real-time vascular visualization methods, which extend on illustrative rendering...
We present real-time vascular visualization methods, which extend on illustrative rendering techniqu...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
This paper describes a system which allows the exploration of a detailed geometric 3D model of the c...
b a c d Fig. 1. Bifurcation of the human abdominal aorta. (a) shows a 3D direct volume rendering of ...
Innovative scanning technologies such as computed X-ray tomography (CT), magnetic resonance imaging ...
Teaser Figure: Left: Brain, visualized using silhouettes, the lesion’s spatial depth is displayed us...