Texture analysis approach for kidney boundary detection from ultrasonic images

Chia Hsiang Wu, Yung-Nien Sun

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

2 Citations (Scopus)

Abstract

Boundary extraction from sonograms is an important but difficult issue in medical imaging analysis. In this paper, we proposed a new method based on Laws' microtexture energies associated with the MAP (maximum a posteriori) estimation to construct a probabilistic deformable model for segmenting kidney boundary from sonograms. It incorporates region-based properties into a contour-based detection mechanism. The optimal contour is obtained by using gradient information subject to a smoothness constraint through the dynamic programming approach. Experimental results show the proposed method successfully detects the renal region.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
Volume2
ISBN (Print)0780356756
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: 1999 Oct 131999 Oct 16

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period99-10-1399-10-16

Fingerprint

Medical imaging
Dynamic programming
Textures
Ultrasonics
Statistical Models

All Science Journal Classification (ASJC) codes

  • Bioengineering

Cite this

Wu, C. H., & Sun, Y-N. (1999). Texture analysis approach for kidney boundary detection from ultrasonic images. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2). IEEE.
Wu, Chia Hsiang ; Sun, Yung-Nien. / Texture analysis approach for kidney boundary detection from ultrasonic images. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2 IEEE, 1999.
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Wu, CH & Sun, Y-N 1999, Texture analysis approach for kidney boundary detection from ultrasonic images. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 2, IEEE, Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS), Atlanta, GA, USA, 99-10-13.

Texture analysis approach for kidney boundary detection from ultrasonic images. / Wu, Chia Hsiang; Sun, Yung-Nien.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2 IEEE, 1999.

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

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AB - Boundary extraction from sonograms is an important but difficult issue in medical imaging analysis. In this paper, we proposed a new method based on Laws' microtexture energies associated with the MAP (maximum a posteriori) estimation to construct a probabilistic deformable model for segmenting kidney boundary from sonograms. It incorporates region-based properties into a contour-based detection mechanism. The optimal contour is obtained by using gradient information subject to a smoothness constraint through the dynamic programming approach. Experimental results show the proposed method successfully detects the renal region.

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Wu CH, Sun Y-N. Texture analysis approach for kidney boundary detection from ultrasonic images. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2. IEEE. 1999