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.
Patent
System and methods for image segmentation in n-dimensional space
United States Patent and Trademark Office
08/09/2011
Abstract
Details
- Title: Subtitle
- System and methods for image segmentation in n-dimensional space
- Creators
- Kang Li (Inventor)Xiaodong Wu (Inventor)Danny Z Chen (Inventor)Milan Sonka (Inventor)
- Contributors
- University of Iowa Research Foundation (Iowa City, IA, US) (Assignee)University of Notre Dame du Lac (Notre Dame, IN, US) (Assignee)
- Resource Type
- Patent
- Publisher
- United States Patent and Trademark Office; United States
- Patent
- US Patent 7,995,810; Published; 11/474,070; 06/23/2006; 382/128; 382/173, 382/224
- Number of pages
- 38 pages
- Language
- English
- Date published
- 08/09/2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; UI Research Foundation; Ophthalmology and Visual Sciences
- Record Identifier
- 9983762069902771
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