Fast streaming 3D level set segmentation on the GPU for smooth multi-phase segmentation

Authors:
Ojaswa Sharma;Qin Zhang;François Anton;Chandrajit Bajaj
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India;Computational Visualization Center, The University of Texas at Austin, Austin, Texas;DTU Informatics, The Technical University of Denmark, Lyngby, Denmark;Computational Visualization Center, The University of Texas at Austin, Austin, Texas
Venue:
Transactions on computational science XIII
Year:
2011

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Abstract

Level set method based segmentation provides an efficient tool for topological and geometrical shape handling, but it is slow due to high computational burden. In this work, we provide a framework for streaming computations on large volumetric images on the GPU. A streaming computational model allows processing large amounts of data with small memory footprint. Efficient transfer of data to and from the graphics hardware is performed via a memory manager. We show volumetric segmentation using a higher order, multi-phase level set method with speedups of the order of 5 times.