University of Utah Interactive Processing of Level Sets 
Aaron Lefohn and Ross Whitaker
Scientific Computing and
   Imaging Institute

Abstract

    The goal of this project is to accelerate the level set deformable surface methods to interactive rates by mapping both the computation and visualization to programmable graphics hardware (GPU).
Results

1. A 3D GPU-Based Level-Set Solver with Curvature Flow:



We have implemented a 3D level set solver running on the ATI Radeon 8500 GPU. In addition to running in 3D, the solver computes the second-order, mean curvature speed term in spite of the 8-bit memory limitations. The GPU-baed solver runs at 1x-2x faster than a higly-optimized sparse-grid CPU-based solver. We demonstrate the solver segmenting the cerebral cortex surface from a 256 x 256 x 175 MRI volume.
Technical Report:
    Aaron E. Lefohn,Ross T. Whitaker, "A GPU-Based, Three-Dimensional Level Set Solver with Curvature Flow," University of Utah School of Computing Technical Report, UUCS-02-017, (2002)