Functional Magnetic Resonance Imaging: An Improved Short Record Signal Model

被引：9

作者：

Barbe, Kurt ^{[1
]}

Van Moer, Wendy ^{[1
]}

Lauwers, Lieve ^{[1
]}

机构：

[1] Vrije Univ Brussel, Dept ELEC M2ESA, B-1050 Brussels, Belgium

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2011年 / 60卷 / 05期

关键词：

Biomedical; confidence sets; functional magnetic resonance imaging (fMRI) measurements; measurement uncertainty; parameter estimation; time series; TIME;

D O I：

10.1109/TIM.2010.2089150

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

The number of measurement problems for which it is either difficult or expensive to obtain long measurement records is rising. This short-record issue particularly pops up in biomedical measurements. In this paper, we study the problem of modeling fMRI signals used to map brain activity. In this paper, it is shown that, by using a postprocessing technique that is well equipped to handle the short-record problem, either the spatial resolution or the detection accuracy of the active regions can be improved by at least 50%.

引用

页码：1724 / 1731

页数：8

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