Medical image segmentation based on MDL shape model
Xuan Hao · Journal of Hefei University of Technology · 2011
Active shape model(ASM) is an efficient method of image segmentation.One key factor in building this model is to obtain correspondent landmarks among the whole shape dataset.Traditional manual landmarking is time-consuming and subjective,and cannot be conducted in three-dimensional space.This paper adopts a multi-scale parameterization approach which allows minimum description length(MDL) based optimization on landmark correspondence.This achieves an effective,objective and repeatable ASM building.The segmentation test on MRI images of waist and knee joint verifies the good performance of the proposed method.