Iterative Quadtree Decomposition Segmentation of Liver MR Image
Chi Dongxiang, Lu Tiankun · 2009
An improved iterative quadtree decomposition (IQD) algorithm is proposed: starting from a seed point or a ranking order of liver area, a segmentation result of liver in MR image is obtained by a quadtree decomposition, regional morphology operation and ordering of ROI. The IQD algorithm overcomes unfavorable condition of small proportion of liver area in the MR image which makes the segmentation difficult. The segmentation result demonstrates the advantage of the approach and lays foundation for future extraction of tumor.