Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Eric Papenhausen, Klaus Mueller
Visual Analytics and Imaging Lab, Computer Science Department, Stony Brook University, Stony Brook, NY 11777 USA
IEEE Medical Imaging Conference, 2013


   title={Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction},

   author={Papenhausen, Eric and Mueller, Klaus},



Download Download (PDF)   View View   Source Source   



Graphical processing units (GPUs) have become widely adopted in the medical imaging community. The parallel SIMD nature of GPUs maps perfectly to many reconstruction algorithms. Because of this, it is relatively straightforward to parallelize common reconstruction algorithms (e.g. FDK backprojection). This means that significant performance improvements must come from careful memory optimizations, exploiting ASICs and a few other tricks to boost instruction throughput. We present optimizations that build off of previous work to optimize a GPU accelerated FDK backprojection implementation using the RabbitCT dataset.
No votes yet.
Please wait...

* * *

* * *

* * *

HGPU group © 2010-2022 hgpu.org

All rights belong to the respective authors

Contact us: