Time series of EIT chest images using singular value decomposition and Fourier transform

被引：27

作者：

Kerrouche, N

McLeod, CN ^{[1
]}

Lionheart, WRB

机构：

[1] Oxford Brookes Univ, EIT Res Grp, Oxford OX3 0BP, England

[2] UMIST, Dept Math, Manchester M60 1QD, Lancs, England

来源：

PHYSIOLOGICAL MEASUREMENT | 2001年 / 22卷 / 01期

关键词：

EIT; cardiovascular; respiratory; imaging;

D O I：

10.1088/0967-3334/22/1/318

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

The aim of this study is to propose a useful method for exploring regional ventilation and perfusion in the chest, The paper describes two methods based on singular value decomposition (SVD) and Fourier transform (FT) respectively. This work shows that power spectral density (PSD) and phase images (derived from the Fourier transform) are easier to interpret and more useful tools for exploiting in vivo EIT data in healthy volunteers in order to explore the cardiovascular and respiratory systems.

引用

页码：147 / 157

页数：11