Multiphase Segmentation of Liver Lesion in CT Images Based on C-V Model / 医疗卫生装备

ABSTRACT

Objective To study a semi-automatic segmentation framework for liver complex lesion in CT images. Methods A multiphase level set method of image segmentation based on C-V model was proposed, which was in connection with the complex information in the pathological changes area of liver. Depending on the overall characteristics of the image, the active curve contour of C-V model stopped on the edge of objects. It was possible for the segmentation of multi-objects because multi-phase level set was drawn into. Simultaneously, the problem of overlapping and hollow caused by more level set function was avoided. Results The method behaved well in the segmentation of CT images of the liver lesion, two different area were separated. Conclusion The segmentation tests prove that the proposed segmenting method makes a good result.