Realistic 2D human thorax modelling for EIT

Andrea Borsic; Chris McLeod; William Lionheart; Nacer Kerrouche

doi:10.1088/0967-3334/22/1/310

Realistic 2D human thorax modelling for EIT

Andrea Borsic, Chris McLeod, William Lionheart, Nacer Kerrouche

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

Abstract

Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.

Original language	English
Pages (from-to)	77-83
Number of pages	6
Journal	Physiological Measurement
Volume	22
Issue number	1
DOIs	https://doi.org/10.1088/0967-3334/22/1/310
Publication status	Published - Feb 2001

Keywords

Complete electrode model
Electrical impedance tomography (EIT)
Finite element modelling (FEM)
Full electrode model
Lungs
Mesh generation
Thoracic imaging

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10.1088/0967-3334/22/1/310

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title = "Realistic 2D human thorax modelling for EIT",

abstract = "Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.",

keywords = "Complete electrode model, Electrical impedance tomography (EIT), Finite element modelling (FEM), Full electrode model, Lungs, Mesh generation, Thoracic imaging",

author = "Andrea Borsic and Chris McLeod and William Lionheart and Nacer Kerrouche",

year = "2001",

month = feb,

doi = "10.1088/0967-3334/22/1/310",

language = "English",

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journal = "Physiological Measurement",

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AU - Borsic, Andrea

AU - McLeod, Chris

AU - Lionheart, William

AU - Kerrouche, Nacer

PY - 2001/2

Y1 - 2001/2

N2 - Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.

AB - Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.

KW - Complete electrode model

KW - Electrical impedance tomography (EIT)

KW - Finite element modelling (FEM)

KW - Full electrode model

KW - Lungs

KW - Mesh generation

KW - Thoracic imaging

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DO - 10.1088/0967-3334/22/1/310

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SN - 0967-3334

VL - 22

SP - 77

EP - 83

JO - Physiological Measurement

JF - Physiological Measurement

IS - 1

ER -

Realistic 2D human thorax modelling for EIT

Abstract

Keywords

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