一种基于改进FastICA算法的功能性MRI图像成分分离新方法

IF 1.3 Q4 ENGINEERING, BIOMEDICAL Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI:10.1109/MEDIVIS.2008.8

H. Larijani, G.R. Rad

{"title":"一种基于改进FastICA算法的功能性MRI图像成分分离新方法","authors":"H. Larijani, G.R. Rad","doi":"10.1109/MEDIVIS.2008.8","DOIUrl":null,"url":null,"abstract":"This paper proposes a new approach for separation of components in functional MRI sequences using FastICA. In this paper we will demonstrate that if we subtract background (which is separated from sources by PCA) from other principal components, the algorithm converges very fast. The proposed method is more robust and much more computationally efficient than methods, which previously has been applied for separation of components in functional MRI sequences.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"73 1","pages":"83-87"},"PeriodicalIF":1.3000,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Approach for Separation of Functional MRI Images' Components Using Modified FastICA Algorithm\",\"authors\":\"H. Larijani, G.R. Rad\",\"doi\":\"10.1109/MEDIVIS.2008.8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new approach for separation of components in functional MRI sequences using FastICA. In this paper we will demonstrate that if we subtract background (which is separated from sources by PCA) from other principal components, the algorithm converges very fast. The proposed method is more robust and much more computationally efficient than methods, which previously has been applied for separation of components in functional MRI sequences.\",\"PeriodicalId\":51800,\"journal\":{\"name\":\"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization\",\"volume\":\"73 1\",\"pages\":\"83-87\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2008-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEDIVIS.2008.8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDIVIS.2008.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种利用FastICA分离功能MRI序列组分的新方法。在本文中，我们将证明，如果我们从其他主成分中减去背景(通过PCA从源中分离)，算法收敛得非常快。所提出的方法比以前用于功能MRI序列中组分分离的方法更具鲁棒性和计算效率。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A New Approach for Separation of Functional MRI Images' Components Using Modified FastICA Algorithm

This paper proposes a new approach for separation of components in functional MRI sequences using FastICA. In this paper we will demonstrate that if we subtract background (which is separated from sources by PCA) from other principal components, the algorithm converges very fast. The proposed method is more robust and much more computationally efficient than methods, which previously has been applied for separation of components in functional MRI sequences.

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

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization ENGINEERING, BIOMEDICAL-

CiteScore

2.80

自引率

6.20%

发文量

102

期刊介绍： Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.