关键词: 水平集, 窄带, 分水岭, 肝脏肿瘤分割, 三维重建

Abstract: Three-dimensional liver tumor segmentation is a hot issue in medical image processing study. Accurate and fast liver tumor segmentation from abdominal CT sequences is the basis for liver lesions diagnose. The level set method is sensitive to contour and has large amount of computation. It is inflexibility to set the width of the narrow band. The new method improves traditional level set method. Firstly, divided liver image with watershed method, the block where initial contour in is marked, and the labeled blocks make up narrow band. The level set algorithm can convergence initial contour to the exact contour in narrow band. Then using its edge as the initial contour of the adjacent CT sequence, with the new algorithm mentioned above split the liver tumor from a sequence of images, the process is repeated until get all segmentation result from the entire slices, then 3-D reconstructed.

Key words: level set, narrow band, watershed, liver tumor segmentation, 3-D reconstruction