A 3-D Liver Tumor Level Set Method Based on Narrowband Gradient Modification
Liver tumor segmentation is a hot issue in current medical image processing research,fast and accurate liver tumor segmentation method for abdominal CT sequences is the basis for liver lesions diagnose.The evolving curve in traditional level set algorithm often stopped in local gradient minimal regions or false edges while dealing with low contrast or borderline blurred CT images.In order to solve this problem,a level set method based on narrowband gradient modification is proposed in this paper.First,morphological gradient transformation was performed on the image to get the gradient image.Then it set up function relationship between structural elements radius and gradient value,and modified the image gradient.Using level set method to segment the image according to gradient information.Finally using the result as the initial contour of the adjacent CT sequence,built narrowband with a special width,split the liver tumor within the narrowband,repeat the process until getting all the results of the entire slices,then 3-D reconstructed.
liver tumor level set narrowband gradient modification image segmentation
Wenqiang Cheng Jiaqing Qiu
School of Information Engineering Wuhan University of Technology Wuhan China
国际会议
重庆
英文
356-360
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）