We present a method for fast volume rendering using graphics hardware (GPU). To our knowledge, it is the first implementation on the GPU. Based on the Shear-Warp algorithm, our GPU-based method provides real-time frame rates and outperforms the CPU-based implementation. When the number of slices is not sufficient, we add in-between slices computed by interpolation. This improves then the quality of the rendered images. We have also implemented the ray marching algorithm on the GPU. The results generated by the three algorithms (CPU-based and GPU-based Shear- Warp, GPU-based Ray Marching) for two test models has proved that the ray marching algorithm outperforms the shear-warp methods in terms of speed up and image quality
Abstract—Due to the required computational effort of 4D ultrasound imaging, such systems depend on l...
With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI),...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...
Modern GPUs possess enormous computational capabilities, power that has just become available for ge...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Direct volumetric visualization of medical datasets has important application in areas such as minim...
AbstractVisualization methods of medical imagery based on volumetric data constitute a fundamental t...
Volume rendering describes the processes of creating a 2D projection of a 3D discretely sampled data...
Traditional 3D computer graphics focus on rendering the exterior of objects. Volume rendering is a t...
This paper presents multi-frame rate volume rendering, an asynchronous approach to parallel volume r...
Volume rendering is a technique for simultaneous visualization of surfaces and inner structures of o...
Volume rendering is a technique to display 3D volumetric data sets as 2D images. Main computation in...
Medical image visualization often relies on 3D volume rendering. To enable interaction with 3D rende...
Abstract. With the broad availability and increasing performance of commodity graphics processors (G...
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they...
Abstract—Due to the required computational effort of 4D ultrasound imaging, such systems depend on l...
With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI),...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...
Modern GPUs possess enormous computational capabilities, power that has just become available for ge...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Direct volumetric visualization of medical datasets has important application in areas such as minim...
AbstractVisualization methods of medical imagery based on volumetric data constitute a fundamental t...
Volume rendering describes the processes of creating a 2D projection of a 3D discretely sampled data...
Traditional 3D computer graphics focus on rendering the exterior of objects. Volume rendering is a t...
This paper presents multi-frame rate volume rendering, an asynchronous approach to parallel volume r...
Volume rendering is a technique for simultaneous visualization of surfaces and inner structures of o...
Volume rendering is a technique to display 3D volumetric data sets as 2D images. Main computation in...
Medical image visualization often relies on 3D volume rendering. To enable interaction with 3D rende...
Abstract. With the broad availability and increasing performance of commodity graphics processors (G...
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they...
Abstract—Due to the required computational effort of 4D ultrasound imaging, such systems depend on l...
With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI),...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...