With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), implicit modeling techniques are increasingly applied to reconstruct the human organs, especially the vasculature. However, displaying implicitly represented geometric objects arises heavy computational burden. In this study, a Graphics Processing Unit (GPU) accelerating technique was developed for high performance rendering of implicitly represented objects, especially the vasculatures. The experimental results suggested that the rendering performance was greatly enhanced via exploiting the advantages of modern GPUs. © 2014 - IOS Press and the authors. All rights reserved
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
Due to their complexity, medical data sets can easily comprise of several gigabytes in size. For exa...
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they...
With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI),...
International audienceMagnetic resonance imaging (MRI) is one of the most important diagnostic tools...
We present a method for fast volume rendering using graphics hardware (GPU). To our knowledge, it is...
Modern GPUs possess enormous computational capabilities, power that has just become available for ge...
International audienceComputer simulations of magnetic resonance imaging (MRI) are important tools i...
Volume rendering describes the processes of creating a 2D projection of a 3D discretely sampled data...
In the paper we present the use of graphic processor units to accelerate the most time-consuming sta...
Surgical training in virtual environments, surgical simulation in other words, has previously had di...
Thesis (Ph.D.)--University of Washington, 2014This dissertation explores the implications of GPU-acc...
3-D visualization of blood vessel from standard medical datasets (e.g. CT or MRI) play an important ...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
The role of computers in medical image display and analysis continues to be one of the most computat...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
Due to their complexity, medical data sets can easily comprise of several gigabytes in size. For exa...
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they...
With the flooding datasets of medical Computed Tomography (CT) and Magnetic Resonance Imaging (MRI),...
International audienceMagnetic resonance imaging (MRI) is one of the most important diagnostic tools...
We present a method for fast volume rendering using graphics hardware (GPU). To our knowledge, it is...
Modern GPUs possess enormous computational capabilities, power that has just become available for ge...
International audienceComputer simulations of magnetic resonance imaging (MRI) are important tools i...
Volume rendering describes the processes of creating a 2D projection of a 3D discretely sampled data...
In the paper we present the use of graphic processor units to accelerate the most time-consuming sta...
Surgical training in virtual environments, surgical simulation in other words, has previously had di...
Thesis (Ph.D.)--University of Washington, 2014This dissertation explores the implications of GPU-acc...
3-D visualization of blood vessel from standard medical datasets (e.g. CT or MRI) play an important ...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
The role of computers in medical image display and analysis continues to be one of the most computat...
In the paper we present the use of graphic processor units to accelerate the most time-consuming st...
Due to their complexity, medical data sets can easily comprise of several gigabytes in size. For exa...
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they...