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

Nacer Kerrouche; C. N. McLeod; William Lionheart

doi:10.1088/0967-3334/22/1/318

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

Nacer Kerrouche, C. N. McLeod, William Lionheart

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	147-157
Number of pages	10
Journal	Physiological Measurement
Volume	22
Issue number	1
DOIs	https://doi.org/10.1088/0967-3334/22/1/318
Publication status	Published - Feb 2001

Keywords

Cardiovascular
EIT
Imaging
Respiratory

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10.1088/0967-3334/22/1/318

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title = "Time series of EIT chest images using singular value decomposition and Fourier transform",

abstract = "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.",

keywords = "Cardiovascular, EIT, Imaging, Respiratory",

author = "Nacer Kerrouche and McLeod, {C. N.} and William Lionheart",

year = "2001",

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AU - McLeod, C. N.

AU - Lionheart, William

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AB - 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.

KW - Cardiovascular

KW - EIT

KW - Imaging

KW - Respiratory

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DO - 10.1088/0967-3334/22/1/318

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SP - 147

EP - 157

JO - Physiological Measurement

JF - Physiological Measurement

IS - 1

ER -

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

Abstract

Keywords

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