Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Southern Medical University》 2011-07
Add to Favorite Get Latest Update

A graph cuts-based interactive method for segmentation of magnetic resonance images of meningioma

LI Shuan-qiang 1 ,FENG Qian-jin 1 ,CHEN Wu-fan 1 ,LIN Ya-zhong 2 1 School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China;2 175 Hospital of PLA,Zhangzhou 363000,China  
For accurate segmentation of the magnetic resonance(MR) images of meningioma,we propose a novel interactive segmentation method based on graph cuts.The high dimensional image features was extracted,and for each pixel,the probabilities of its origin,either the tumor or the background regions,were estimated by exploiting the weighted K-nearest neighborhood classifier.Based on these probabilities,a new energy function was proposed.Finally,a graph cut optimal framework was used for the solution of the energy function.The proposed method was evaluated by application in the segmentation of MR images of meningioma,and the results showed that the method significantly improved the segmentation accuracy compared with the gray level information-based graph cut method.
【Fund】: 国家973项目(2010CB732505);; 国家自然科学青年基金(30900380);; 广东省自然科学基金(9151051501000026);; 福建省自然科学基金项目(2008J0312);; 南京军区重点课题(08Z021);南京军区“十一五”计划课题项目(06MA99);; 广东省产学研项目(cgzhzd0717)~~
【CateGory Index】: TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved