A GPU-based, three-dimensional level set solver with curvature flow

Update item information
Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Lefohn, Aaron; Whitaker, Ross T.
Title A GPU-based, three-dimensional level set solver with curvature flow
Date 2002-12-11
Description Level set methods are a powerful tool for implicitly representing deformable surfaces. Since their inception, these techniques have been used to solve prob- lems in fields as varied as computer vision, scientific visualization, computer graphics and computational physics. With the power and flexibility of this approach; however, comes a large computational burden. In the level set ap- proach, surface motion is computed via a partial differential equation (PDE) framework. One possibility for accelerating level-set based applications is to map the solver kernel onto a commodity graphics processing unit (GPU). GPUs are parallel, vector computers whose power is currently increasing at a faster rate than that of CPUs. in this work, we demonstrate a GPU-based, three- dimensional level set solver that is capable of computing curvature flow as well as other speed terms. Results are shown for this solver segmenting the brain surface from an MRI data set.
Type Text
Publisher University of Utah
Subject GPU-based; Level set solver
Subject LCSH Level set methods
Language eng
Bibliographic Citation Lefohn, Aaron; Whitaker, Ross T. (2002). A GPU-based, three-dimensional level set solver with curvature flow. UUCS-02-017.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 326,743 bytes
Source University of Utah School of Computing
ARK ark:/87278/s63b6hdr
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 704258
Reference URL https://collections.lib.utah.edu/ark:/87278/s63b6hdr
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