A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as “on-surface” costs as well as “in-region” costs.
Patent
System and methods for image segmentation in N-dimensional space
United States Patent and Trademark Office
01/22/2013
Abstract
Details
- Title: Subtitle
- System and methods for image segmentation in N-dimensional space
- Creators
- Xiaodong Wu (Inventor)Mona Garvin (Inventor)Michael David Abramoff (Inventor)Milan Sonka (Inventor)
- Contributors
- University of Iowa Research Foundation (Iowa City, IA, US) (Assignee)
- Resource Type
- Patent
- Publisher
- United States Patent and Trademark Office; United States
- Patent
- US Patent 8,358,819; Published; 12/001,066; 12/07/2007; 382/128; 382/173, 382/224
- Number of pages
- 55 pages
- Language
- English
- Date published
- 01/22/2013
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; UI Research Foundation
- Record Identifier
- 9983762066702771
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