基于三维统计模型的肝脏分割是医学图像处理领域最近几年兴起的一种分割方法,其以分割效果好和错误率低得到研究者关注.但该分割算法对模型的初始定位敏感,人工定位容易引入误差,这限制了三维统计模型算法的进一步应用.描述了肝脏平均模型的构造和应用,改进了平均模型的加权形式,提出了基于统计直方图的全自动定位方法,简化了模型的定位.Liver segmentation based on three-dimensional statistical shape model is a novel method in the medical image processing field recently.The advantage of good segmentation performance and low error rate has aroused the focus of researcher.In addition,the location of model in volume data effect the segmentation.Artificial location may introduces extra error,which limits its further application in the segmentation of the liver in practice.In this article,we discribe the constrution of statistical shape model.We propose the form of the weighted average model in this paper.Automatic location method based on statistical histogram is proposed to point the positioning of the model.国家自然科学基金项目(61102137;61271336
