Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely on the generation of a Digitally Reconstructed Radiograph (DRR) in each iteration of the registration algorithm. The vast majority of the computation time of such registration algorithms can be contributed to the calculations needed to produce DRRs. Since 2D-3D registration often is applied during clinical interventions, it is of great importance to obtain the result of the registration within limited time. We present an approach that is both very fast and accurate, harvesting the parallel processing power of today's mainstream graphics hardware. Especially we use the high precision z-buffer as intermediate buffer, in order to produce accurate...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
To provide faster calculation of digitally reconstructed radiographs (DRRs) in patient-positioning v...
This paper describes a method for DRR generation as well as for volume gradients projection using ha...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
A Digitally Reconstructed Radiograph (DRR) is an X-ray -like representation of a CT dataset. Since t...
In this paper we present an approach for speeding-up the generation of Digitally Reconstructed Radio...
In this paper we present an approach for speeding-up the generation of Digitally Reconstructed Radio...
A hardware-assisted intensity-based registration method developed for assessing patellar tracking wa...
Generation of digitally reconstructed radiographs (DRRs) is computationally expensive and has been c...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
To provide faster calculation of digitally reconstructed radiographs (DRRs) in patient-positioning v...
This paper describes a method for DRR generation as well as for volume gradients projection using ha...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
Intensity based two-dimensional to three-dimensional (2D- 3D) registration algorithms usually rely o...
A Digitally Reconstructed Radiograph (DRR) is an X-ray -like representation of a CT dataset. Since t...
In this paper we present an approach for speeding-up the generation of Digitally Reconstructed Radio...
In this paper we present an approach for speeding-up the generation of Digitally Reconstructed Radio...
A hardware-assisted intensity-based registration method developed for assessing patellar tracking wa...
Generation of digitally reconstructed radiographs (DRRs) is computationally expensive and has been c...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
Purpose: To determine the robustness and accuracy of an open source 2D/3D GPU accelerated image regi...
To provide faster calculation of digitally reconstructed radiographs (DRRs) in patient-positioning v...
This paper describes a method for DRR generation as well as for volume gradients projection using ha...