Meeting Banner
Abstract #4839

3D Model-Based Parameter Quantification on Resource Constrained Hardware using Double-Buffering

Oliver Maier1, Matthias Schloegl1, Kristian Bredies2, and Rudolf Stollberger1,3

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, 3Biotechmed, Graz, Austria

Reconstructing 3D parameter maps of huge volumes entirely on the GPU is highly desirable due to the offered computation speed-up. However, GPU memory restrictions limit the coverable volume. To overcome this limitation, a double-buffering strategy in combination with model-based parameter quantification and 3D-TGV regularization is proposed. This combination warrants whole volume reconstruction while maintaining the speed advantages of GPU-based computation. In contrast to sequential transfers, double-buffering splits the volume into blocks and overlaps memory transfer and kernel execution concurrently, hiding memory latency. The proposed method is able to reconstruct arbitrary large volumes within 5.3 min/slice, even on a single GPU.

This abstract and the presentation materials are available to members only; a login is required.

Join Here