Automatic colon segmentation using isolated-connected threshold

Ku Yaw Chang, Hao Han Zhang, Shao Jer Chen, Lih-Shyang Chen, Jia Hong Chen

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

4 Citations (Scopus)

Abstract

Virtual colonoscopy (VC) is a safe and fast medical imaging procedure to screen the colon for polyps. And it has become very popular recently. Colon segmentation is a necessary and important step of such an examination procedure. In this paper, an automatic colon segmentation method is proposed. The fluid inside the colon is first identified and removed based on its characteristic of horizontal surface. A simple 3D region growing algorithm is applied to obtain initial segmentation of air, which is served as the basis of the ensuing automatic locating object and background seeds. Then the isolated-connected threshold algorithm, together with the above seeds, is applied to obtain the final results. The colon can be obtained by applying morphological operations to the segmentation results of air. Our proposed algorithm can automatically segment different substances based on the isolated-connected threshold. It allows the user to modify the segmentation results interactively by providing more object or background seeds.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
Pages44-47
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 - Kaohsiung, Taiwan
Duration: 2011 Nov 212011 Nov 23

Publication series

NameProceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

Other

Other1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
CountryTaiwan
CityKaohsiung
Period11-11-2111-11-23

Fingerprint

Seed
Medical imaging
Air
Fluids

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Chang, K. Y., Zhang, H. H., Chen, S. J., Chen, L-S., & Chen, J. H. (2011). Automatic colon segmentation using isolated-connected threshold. In Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 (pp. 44-47). [6114891] (Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011). https://doi.org/10.1109/RVSP.2011.65
Chang, Ku Yaw ; Zhang, Hao Han ; Chen, Shao Jer ; Chen, Lih-Shyang ; Chen, Jia Hong. / Automatic colon segmentation using isolated-connected threshold. Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. pp. 44-47 (Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011).
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abstract = "Virtual colonoscopy (VC) is a safe and fast medical imaging procedure to screen the colon for polyps. And it has become very popular recently. Colon segmentation is a necessary and important step of such an examination procedure. In this paper, an automatic colon segmentation method is proposed. The fluid inside the colon is first identified and removed based on its characteristic of horizontal surface. A simple 3D region growing algorithm is applied to obtain initial segmentation of air, which is served as the basis of the ensuing automatic locating object and background seeds. Then the isolated-connected threshold algorithm, together with the above seeds, is applied to obtain the final results. The colon can be obtained by applying morphological operations to the segmentation results of air. Our proposed algorithm can automatically segment different substances based on the isolated-connected threshold. It allows the user to modify the segmentation results interactively by providing more object or background seeds.",
author = "Chang, {Ku Yaw} and Zhang, {Hao Han} and Chen, {Shao Jer} and Lih-Shyang Chen and Chen, {Jia Hong}",
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Chang, KY, Zhang, HH, Chen, SJ, Chen, L-S & Chen, JH 2011, Automatic colon segmentation using isolated-connected threshold. in Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011., 6114891, Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011, pp. 44-47, 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011, Kaohsiung, Taiwan, 11-11-21. https://doi.org/10.1109/RVSP.2011.65

Automatic colon segmentation using isolated-connected threshold. / Chang, Ku Yaw; Zhang, Hao Han; Chen, Shao Jer; Chen, Lih-Shyang; Chen, Jia Hong.

Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. p. 44-47 6114891 (Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011).

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

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Chang KY, Zhang HH, Chen SJ, Chen L-S, Chen JH. Automatic colon segmentation using isolated-connected threshold. In Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011. 2011. p. 44-47. 6114891. (Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011). https://doi.org/10.1109/RVSP.2011.65