Tumour Detection in Mr Liver Images by Integrating Edge and Region Information

This paper describes a segmentation technique for 2D interventional MR images of liver tumours. Our goal is to extract the targeted tumour with high accuracy and reliability. Two features of MR data were likely to challenge existing segmentation methods. The first one is the inhomogeneous intratumoral texture, while the second one is the “blurred” appearance and the non-uniform sharpness of the tumour boundary. In order to detect the region of interest, we create the tumour contour map using a multithresholding technique and a measure of similarity between successive contours. Tumours presenting boundaries with non-uniform sharpness are segmented with an algorithm based on pixel aggregation and local textural information.