Model-driven contour extraction for physically deformed objects -application to analysis of stomach X-ray images

Author

Kita, Yasuyo

Author_Institution

Comput. Vision Sect., Electrotech. Lab., Ibaraki, Japan

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

280

Lastpage

284

Abstract

Proposes a model-driven method for extracting the contour of a physically deformed object using a flexible model which simulates the deformation. This method has been developed to extract a stomach contour from a double contrast X-ray image (abbreviated as the DC image). First, the method automatically constructs a stomach model based on the stomach shape extracted from a different type of X-ray image of the same stomach. The model consists of springs to represent the elasticity of a stomach. By using the model to simulate the stomach deformation between the two images, the stomach shape in the DC image is predicted. The predicted shape is registered in the DC image and is made closer to the exact contour by a two-staged method. Stomach contours were accurately obtained using 13 actual DC images

Keywords

diagnostic radiography; image processing; image recognition; medical diagnostic computing; analysis of stomach X-ray images; diagnostic radiography; double contrast X-ray image; model driven contour extraction; pattern recognition; physically deformed objects; picture processing; Data mining; Deformable models; Humans; Image analysis; Noise shaping; Predictive models; Radiography; Shape; Stomach; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2910-X

Type

conf

DOI

10.1109/ICPR.1992.201558

Filename

201558