Autonomous Segmentation of Liver MR Image

It is a matter of difficulty for a segmentation of liver Magnetic Resonance image because of the infiltrations among the internal organs and their individual differences. Based on the previous research, an Iterative Quadtree Decomposition (IQD) algorithm is put forward to obtain a autonomous segmentation result through quadtree decomposition, regional morphology operation and ordering of ROI. The segmentation difficulties of the convex or concave part of the liver image and its boundary are overcome by IDQ. The segmentation result demonstrates the feasibility of the approach and lays foundation for future extraction of tumour.