[1]石莉莉,刘梓君,穆文迪,等.功能磁共振成像熵连接工具箱的研制[J].中国医学物理学杂志,2020,37(7):867-872.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.013]
 SHI Lili,LIU Zijun,MU Wendi,et al.Development of an entropy connectivity analyze toolbox for functional magnetic resonance imaging[J].Chinese Journal of Medical Physics,2020,37(7):867-872.[doi:DOI:10.3969/j.issn.1005-202X.2020.07.013]
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功能磁共振成像熵连接工具箱的研制()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第7期
页码:
867-872
栏目:
医学影像物理
出版日期:
2020-07-25

文章信息/Info

Title:
Development of an entropy connectivity analyze toolbox for functional magnetic resonance imaging
文章编号:
1005-202X(2020)07-0867-06
作者:
石莉莉刘梓君穆文迪焦青曹卫芳崔栋郭永新
山东第一医科大学(山东省医学科学院)放射学院, 山东 泰安 271016
Author(s):
SHI Lili LIU Zijun MU Wendi JIAO Qing CAO Weifang CUI Dong GUO Yongxin
Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China
关键词:
熵连接MATLAB工具箱功能磁共振成像
Keywords:
Keywords: entropy connectivity MATLAB toolbox functional magnetic resonance imaging
分类号:
R318;TP315
DOI:
DOI:10.3969/j.issn.1005-202X.2020.07.013
文献标志码:
A
摘要:
目的:为了分析不同脑区间功能磁共振成像(fMRI)信号的效应连接状况,研制一个可计算时间序列间熵连接的工具箱。方法:在Windows环境下,MATLAB平台中编写熵连接代码,利用图形用户界面进行工具箱界面开发,通过设计控件的属性、编写回调函数及调用MATLAB内置程序计算熵连接。结果:该工具箱可实现时间序列间熵连接的计算,并可对结果进行统计分析。用户可输入已生成的脑区fMRI信号时间序列,也可以通过本工具箱生成感兴趣脑区的时间序列,进行计算熵连接。结论:该工具箱易于操作,界面友好,可极大地提高科研人员的效率。
Abstract:
Abstract: Objective To develop a toolbox for calculating the entropy connectivity between time series, thereby analyzing the effective connectivity of functional magnetic resonance imaging signals from different brain regions. Methods Under Windows environment, entropy connectivity codes were written in MATLAB platform, and graphical user interface was used for toolbox interface development. The entropy connectivity was calculated by designing the properties of controls, writing callback functions and calling MATLAB built-in programs. Results The developed toolbox realized the calculation of the entropy connectivity between time series and the statistical analysis on the calculated results. The entropy connectivity was calculated after the user input of the generated time series of functional magnetic resonance imaging signals from brain regions, or the time series of brain regions of interest which were generated by the toolbox. Conclusion With a friendly interface, the toolbox is easy to operate and can greatly improve efficiency of researchers.

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备注/Memo

备注/Memo:
【收稿日期】2020-01-11 【基金项目】国家自然科学基金(81371531);山东省高校科技计划项目(J18KA262);泰山医学院高层次课题培育计划项目(2017GCC11) 【作者简介】石莉莉,学士,研究方向:生物医学工程,E-mail: 2567745312 @qq.com 【通信作者】郭永新,硕士,教授,研究方向:磁共振成像技术、生物医学信号处理,E-mail: davidgyx@163.com
更新日期/Last Update: 2020-07-28