Imagens Médicas

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

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Medical Imaging Software/Equipment on CUDA-enabled GPUs

GPULib: IDL Acceleration
Digisens SnapCT tomographic reconstruction software
Acceleware Imaging Solutions
MATLAB acceleration
NPP: NVIDIA Performance Primitives: Focuses on image and video processing
Techniscan Whole Breast Ultrasound Imaging System: Success Story

Technical Reports on Medical Imaging using CUDA

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
Siemens Medical CT reconstruction
A Fast And High-Quality Cone Beam Reconstruction Pipeline Using The GPU, Siemens
High Performance Tomosynthesis Enabled via a GPU-based Iterative Reconstruction Framework, Siemens
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

Segmentation

Random Walks for Interactive Organ Segmentation in Two and Three Dimensions

Registration

Rendering

Medical Imaging

Scene Graph-based Construction of CUDA Kernel Pipelines for XIP

See Also