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Image registrationis a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration approach for multiphase liver CT images. The proposed method begins with extracting corners and edges simultaneously from reference and floating images...
An efficient sub-pixel level edge detection algorithm for CT brain images is presented in this paper, which is based on Sobel operator, Zernike moments operator, and derived limited non-optimum suppression (LNOS) scheme. Sobel operator is firstly used to extract potential edge points in pixel level, and then Zernike moments operator, together with derived limited non-optimum suppression approach,...
Contrast-enhanced multiphase liver CT is currently a standard of practice in hepatic imaging for medical diagnosis of liver diseases. The main contribution of this paper is an image registration method which finds an accurate alignment of arterial phase and portal venous phase liver CT images. The proposed method combines global rigid registration (affine) and local nonrigid deformable registration...
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