Research interests

<a href="http://www5.informatik.uni-erlangen.de/research/projects/hardware-acceleration-techniques-for-3d-cone-beam-reconstruction/">Hardware Acceleration Techniques for 3D Cone-Beam Reconstruction</a>
High Performance Medical Image Processing
High Performance Iterative Reconstruction using Graphics Processings Units and CUDA

The video on the right shows an on-the-fly (FBP) reconstruction and visualization of a head acquired by a C-arm CT system

The reconstruction and visualization was performed on first generation CUDA-capable graphics cards by NVIDIA a GeForce 8800 GTX with 768MB memory. The reconstructed volume is a 512³-cube using floats (512MB). For the reconstruction 414 projections, each a size of 1024² floating-point pixels, were streamed onto the graphics card and than back-projected on the volume. Details about the implementation and reconstruction speed can be found in our paper. Note that the direkt visualization of a slices during reconstruction reduces the computational speed due to extra costs. After all projections are back-projected we slide through the volume to show that not only one slice was reconstructed.

Extra


CT-MR registration of my head	Functional MRI of my head	X-ray of my thorax

Contact

Address

Dr.-Ing. Benjamin Keck

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Research interests