基于QPSO和Powell算法的医学图像配准研究

2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2015-08-01 DOI:10.1109/DCABES.2015.86

Pan Ting-ting, Zhao Ji

{"title":"基于QPSO和Powell算法的医学图像配准研究","authors":"Pan Ting-ting, Zhao Ji","doi":"10.1109/DCABES.2015.86","DOIUrl":null,"url":null,"abstract":"This paper proposed a multi-resolution search optimization algorithm combining QPSO and Powell algorithm,it can solve the Powell algorithm shortcoming effectively. In this paper, the algorithm were used in two-dimensional MRI images registration.The experimental results show that the algorithm can effectively overcome the problem of local extremum of mutual information function, and improve the precision and speed of registration.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Medical Image Registration Based on QPSO and Powell Algorithm\",\"authors\":\"Pan Ting-ting, Zhao Ji\",\"doi\":\"10.1109/DCABES.2015.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a multi-resolution search optimization algorithm combining QPSO and Powell algorithm,it can solve the Powell algorithm shortcoming effectively. In this paper, the algorithm were used in two-dimensional MRI images registration.The experimental results show that the algorithm can effectively overcome the problem of local extremum of mutual information function, and improve the precision and speed of registration.\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种结合QPSO和Powell算法的多分辨率搜索优化算法，有效地解决了Powell算法的不足。本文将该算法应用于二维MRI图像配准。实验结果表明，该算法有效地克服了互信息函数的局部极值问题，提高了配准的精度和速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on Medical Image Registration Based on QPSO and Powell Algorithm

This paper proposed a multi-resolution search optimization algorithm combining QPSO and Powell algorithm,it can solve the Powell algorithm shortcoming effectively. In this paper, the algorithm were used in two-dimensional MRI images registration.The experimental results show that the algorithm can effectively overcome the problem of local extremum of mutual information function, and improve the precision and speed of registration.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

自引率

0.00%

发文量