%0 Journal Article
%T Cortical Surface Parcellation Using STAPLE Algorithm<br>STAPLE大脑皮层表面沟回分割算法
%A HU Xin-tao
%A LI Gang
%A GUO Lei
%A <br>胡新韬
%A 李刚
%A 郭雷
%J 计算机科学
%D 2011
%I 
%X An algorithm for simultaneous truth and performance estimation of various approaches for human cortical surface parcellation was proposed. The probabilistic true segmentation was estimated as a weighted combination of the segmentations resulted from multiple methods. Afterward,an Expectation-Maximization algorithm was used to optimize the weighting depending on the estimated performance level of each method. Furthermore, a spatial homogeneity constraint modeled by the Hidden Markov Random Field theory was incorporated to refine the estimated true segmentation into a spatially homogenous decision. The proposed method was evaluated using both synthetic and real data. Also, it was used to generate reference sulci regions to perform a comparison study of three methods for cortical surface parcel lation. The experimental results demonstrate the validity of the proposed method.
%K Cortical surface parcellation
%K Optimal combination
%K Performance estimation<br>大脑皮层分割，概率最优分割，性能评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=23A6DC7427955BB142F5B9CE41BC5D07&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=69E4C201C13601F9&eid=4133DDB79B497495&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=11