Case study: an evaluation of user-assisted hierarchical watershed segmentation

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Cates, Joshua E.; Whitaker, Ross T.; Jones, Greg M.
Title Case study: an evaluation of user-assisted hierarchical watershed segmentation
Date 2004-02-27
Description While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correctly tune for specific applications. The second problem is compounded by the first. This paper describes a new tool for 3D segmentation that addresses these problems by computing level-set surface models at interactive rates. This tool employs two important, novel technologies. First is the mapping of a 3D level-set solver onto a commodity graphics card (GPU). This mapping relies on a novel mechanism for GPU memory management. The interactive rates level-set PDE solver give the user immediate feedback on the parameter settings, and thus users can tune free parameters and control the shape of the model in real time. The second technology is the use of region-based speed functions, which allow a user to quickly and intuitively specify the behavior of the deformable model. We have found that the combination of these interactive tools enables users to produce good, reliable segmentations. To support this observation, this paper presents qualitative results from several different datasets as well as a quantitative evaluation from a study of brain tumor segmentations.
Type Text
Publisher University of Utah
Subject Watershed segmentation; Brain tumor imaging
Subject LCSH Three-dimensional imaging; Three-dimensional imaging in medicine
Language eng
Bibliographic Citation Cates, Joshua E.; Whitaker, Ross T.; Jones, Greg M. (2004). Case study: an evaluation of user-assisted hierarchical watershed segmentation. UUCS-04-006.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 739,179 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6tb1r54
Setname ir_uspace
ID 704175
Reference URL https://collections.lib.utah.edu/ark:/87278/s6tb1r54