A deformable model for human organ extraction

Author

Gao, Jean ; Kosaka, Akio ; Kak, Avi

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1998

fDate

4-7 Oct 1998

Firstpage

323

Abstract

We present a modification of the well-known snakes algorithm for extracting contours in noisy images. Our modification addresses the issues of selection of the control points on an estimate of the contour and the determination of the weighting coefficients. The weighting coefficients are determined dynamically on the basis of the distance between the control points and the local curvature of the contour. We show results obtained in extracting the liver from cross-sectional images of the abdomen

Keywords

edge detection; feature extraction; image segmentation; liver; medical image processing; noise; abdomen; contour estimation; contours extraction; control points distance; control points selection; cross-sectional images; deformable model; edge detection; human organ extraction; image segmentation; liver; local curvature; noisy images; snakes algorithm; weighting coefficients; Abdomen; Automatic control; Computed tomography; Deformable models; Hepatectomy; Humans; Image segmentation; Liver; Markov random fields; Metastasis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.999022

Filename

999022