3D segmentation of soft organs by flipping-free mesh deformation

Feng Ding, Wenxian Yang, Wee Kheng Leow, Sudhakar K. Venkatesh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Segmentation of 3D soft organs from complex volume images is a very important and challenging task. The objects of interest may have inhomogeneous voxel intensities and some object boundaries may be indistinct. Existing algorithms are either sensitive to noise or computationally expensive. This paper presents a novel algorithm that overcomes these shortcomings. The algorithm adopts a novel flipping-free mesh deformation and registration method that can easily incorporate geometric constraints to reduce sensitivity to noise. It efficiently deforms the 3D model in large displacements reducing total computational costs. These properties are confirmed by comprehensive test results.

Original languageEnglish (US)
Title of host publication2009 Workshop on Applications of Computer Vision, WACV 2009
DOIs
StatePublished - Dec 1 2009
Event2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States
Duration: Dec 7 2009Dec 8 2009

Publication series

Name2009 Workshop on Applications of Computer Vision, WACV 2009

Other

Other2009 Workshop on Applications of Computer Vision, WACV 2009
CountryUnited States
CitySnowbird, UT
Period12/7/0912/8/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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    Ding, F., Yang, W., Leow, W. K., & Venkatesh, S. K. (2009). 3D segmentation of soft organs by flipping-free mesh deformation. In 2009 Workshop on Applications of Computer Vision, WACV 2009 [5403096] (2009 Workshop on Applications of Computer Vision, WACV 2009). https://doi.org/10.1109/WACV.2009.5403096