Partially Adaptive STAP Algorithm Approaches to Functional MRI

被引：3

作者：

Huang, Lejian ^{[1
]}

Thompson, Elizabeth A. ^{[2
]}

Schmithorst, Vincent ^{[3
]}

Holland, Scott K. ^{[3
]}

Talavage, Thomas M. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

[2] Purdue Univ, Dept Engn, Ft Wayne, IN 46805 USA

[3] Childrens Hosp, Med Ctr, Imaging Res Ctr, Cincinnati, OH 45229 USA

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2009年 / 56卷 / 02期

基金：

美国国家卫生研究院;

关键词：

Element space partially adaptive STAP; functional magnetic resonance imaging (fMRI); image processing; space-time adaptive processing (STAP); FMRI;

D O I：

10.1109/TBME.2008.2006017

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, the architectures of three partially adaptive space-time adaptive processing (STAP) algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in the construction of brain activation maps in functional magnetic resonance imaging (fMRI). Computer simulations incorporating actual MRI noise and human data analysis indicate that element space partially adaptive STAP can attain close to the performance of fully adaptive STAP while significantly decreasing processing time and maximum memory requirements, and thus demonstrates potential in fMRI analysis.

引用

页码：518 / 521

页数：4

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