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A texture analysis approach for kidney boundary detection from ultrasonic images

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2 Author(s)
Chia-Hsiang Wu ; Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yung-Nien Sun

Boundary extraction from sonograms is an important but difficult issue in medical imaging analysis. Here, the authors propose a new method based on Laws' microtexture energies associated with the MAP (maximum a posteriori) estimation to construct 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

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999

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