Medical Imaging
Medical imaging is one of the earliest applications to take advantage of GPU computing to get acceleration. The use of GPUs in this field has matured to the point that there are several medical modalities shipping with NVIDIA’s Tesla GPUs now.
 |
 |
| Accelerating Advanced MRI Reconstructions on GPUs Stone, et al |
Computed Tomography Reconstruction Batenburg, Sijbers, et al |
Medical Imaging Software/Equipment on CUDA-enabled GPUs
- GPULib: IDL Acceleration
- Digisens SnapCT tomographic reconstruction software
- Acceleware Imaging Solutions
- MATLAB acceleration
- NVPP: NVIDIA Performance Primitives (early access): Focuses on image and video processing
- Techniscan Whole Breast Ultrasound Imaging System: Success Story
- University of Tokyo Stereoscopic medical imaging system
- ITK on CUDA
- Papers on Computed Tomography
- University of Antwerp, Belgium digital tomography group
- GE Healthcare CT imaging papers: Cone-Beam back-projection and Fluoro-CT reconstruction
- Seimens Medical CT reconstruction
- Klaus Mueller’s work on medical imaging on GPUs
- 3D Image Registration
- Fast deformable registration
- Cone beam CT Toshiba Stroke Research Center and SUNY Buffalo
- High Speed 3D Tomography on CPU, GPU, and FPGA
- MRI on CUDA
- Accelerated GRAPPA Autocalibration in MRI
- MR Image Reconstruction Using the GPU, Siemens
- Fast MRI Gridding
- Advanced MRI reconstruction
- Stochastic DT-MRI Connectivity Mapping on the GPU
- Segmentation
- Registration
- Automatic CT-ultrasound Registration for Diagnostic Imaging and Image-Guided Intervention
- Interactive Model-based Image Registration
- Rendering
- Importance-driven Rendering in Interventional Imaging
- Real-time Volume Rendering for High Quality Visualization in Augmented Reality
- Medical Imaging
- Imaging and Computer Vision using GPUs: Key Functions and Libraries
- MATLAB acceleration
- Other Tesla Vertical Solutions
- CUDA Software development tools & libraries
