This paper is concerned with the virtual navigation in medical volumes. The core component of this architecture is the voxel chain that operates directly on voxels. A data structure, voxel navigation chain (VNC) tree, represents the navigation path in a volume of features. The feature or object is represented as a voxel tube chain (VTC) that connects many 2D voxel contour chains (VCC). Collectively the hierarchy of the three chains helps efficient navigation in volume data sets. We show the overall architecture of the system and preliminary results from the system. Space requirements and computational complexity for the voxel chain architecure are described for particular implementations
The paper describes VolDmi, an open system for volume modeling and visualization defined as an inter...
lmage processing is one of the areas which are known to be very computalional intensive. To achieve ...
Architecture and applications of a massively parallel processor are described. Volumes of 256x256x12...
We present an interactive navigation system for virtual colonoscopy, which is based solely on high p...
The use of virtual reality (VR) for visualization can revolutionize medical training by simulating r...
This article presents a new method for visualizing remote sense depth maps by using voxels. Voxels h...
Volume Visualization techniques are often applied to sampled data obtained from MRI and CT-scans as ...
This paper concerns parallel, local computations with a data structure such a graph or mesh, which m...
There is a need to visualize multi-billion voxel data sets. Hardware accelerated rendering currently...
Volume visualization is rapidly becoming the preferred tool for the estimation of anatomical feature...
We describe a real-time virtual reality platform and a novel visualization technique designed to del...
A new visualization technique is reported, which dramatically improves interactivity for scientific ...
This paper presents a new technique for the virtual reality (VR) visualization of complex volume ima...
Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graph...
Medical visualization involves many complex decisions for both the user and the imaging algorithms. ...
The paper describes VolDmi, an open system for volume modeling and visualization defined as an inter...
lmage processing is one of the areas which are known to be very computalional intensive. To achieve ...
Architecture and applications of a massively parallel processor are described. Volumes of 256x256x12...
We present an interactive navigation system for virtual colonoscopy, which is based solely on high p...
The use of virtual reality (VR) for visualization can revolutionize medical training by simulating r...
This article presents a new method for visualizing remote sense depth maps by using voxels. Voxels h...
Volume Visualization techniques are often applied to sampled data obtained from MRI and CT-scans as ...
This paper concerns parallel, local computations with a data structure such a graph or mesh, which m...
There is a need to visualize multi-billion voxel data sets. Hardware accelerated rendering currently...
Volume visualization is rapidly becoming the preferred tool for the estimation of anatomical feature...
We describe a real-time virtual reality platform and a novel visualization technique designed to del...
A new visualization technique is reported, which dramatically improves interactivity for scientific ...
This paper presents a new technique for the virtual reality (VR) visualization of complex volume ima...
Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graph...
Medical visualization involves many complex decisions for both the user and the imaging algorithms. ...
The paper describes VolDmi, an open system for volume modeling and visualization defined as an inter...
lmage processing is one of the areas which are known to be very computalional intensive. To achieve ...
Architecture and applications of a massively parallel processor are described. Volumes of 256x256x12...