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

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

doi:10.1109/WACV.2009.5403096

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

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

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2009 Workshop on Applications of Computer Vision, WACV 2009
DOIs	https://doi.org/10.1109/WACV.2009.5403096
State	Published - 2009
Event	2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States Duration: Dec 7 2009 → Dec 8 2009

Publication series

Name	2009 Workshop on Applications of Computer Vision, WACV 2009

Other

Other	2009 Workshop on Applications of Computer Vision, WACV 2009
Country/Territory	United States
City	Snowbird, UT
Period	12/7/09 → 12/8/09

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

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10.1109/WACV.2009.5403096

Cite this

Ding, F, Yang, W, Leow, WK & Venkatesh, SK 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, 2009 Workshop on Applications of Computer Vision, WACV 2009, Snowbird, UT, United States, 12/7/09. https://doi.org/10.1109/WACV.2009.5403096

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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SN - 9781424454976

T3 - 2009 Workshop on Applications of Computer Vision, WACV 2009

BT - 2009 Workshop on Applications of Computer Vision, WACV 2009

T2 - 2009 Workshop on Applications of Computer Vision, WACV 2009

Y2 - 7 December 2009 through 8 December 2009

ER -

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

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