Segmentation of liver based on adaptive region growing
Biqing Zeng · Computer Engineering and Applications Journal · 2010
Extracting the human abdomen organs from medical images can provide accurate data for the following 3D reconstruction of abdomen organs and the final virtual surgery.For the complex characteristics of medical image,an improved algorithm of adaptive region growing is put forward.Based on two local parameters:The local mean value of the intensity function and the local mean value of the norm of the intensity gradient,the homogeneity criterion of this algorithm is improved.The experimental results show that:The segmentation results of the liver are more accurate by using adaptive region growing than using classical region growing algorithm,and it can provide accurate data for 3D reconstruction and surgical simulation of liver.