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

机译:模型驱动的轮廓提取,用于物理变形的对象在胃X线图像分析中的应用

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Proposes a model-driven method for extracting the contour of aphysically deformed object using a flexible model which simulates thedeformation. This method has been developed to extract a stomach contourfrom a double contrast X-ray image (abbreviated as the DC image). First,the method automatically constructs a stomach model based on the stomachshape extracted from a different type of X-ray image of the samestomach. The model consists of springs to represent the elasticity of astomach. By using the model to simulate the stomach deformation betweenthe two images, the stomach shape in the DC image is predicted. Thepredicted shape is registered in the DC image and is made closer to theexact contour by a two-staged method. Stomach contours were accuratelyobtained using 13 actual DC images
机译:提出了一种模型驱动的方法来提取轮廓 使用弹性模型模拟物体的物理变形 形变。已经开发出该方法来提取胃轮廓 来自双对比度X射线图像(缩写为DC图像)。第一的, 该方法根据胃自动构建胃模型 从相同类型的不同类型的X射线图像中提取的形状 胃。该模型由弹簧组成,代表弹簧的弹性。 胃。通过使用该模型来模拟之间的胃变形 在这两个图像中,可以预测DC图像中的胃部形状。这 预测的形状会记录在DC图像中,并使其更接近 通过两步法获得精确轮廓。胃轮廓准确 使用13个实际DC图像获得

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