Dynamic model of the thorax for ECG and ICG studies

J. Hyttinen; Jyrki Lötjönen; P. Kauppinen; M. Saarilampi; R.-K. Mäenpää; M. Jerosch-Herold; J. Zhang; R. Patterson; Jaakko Malmivuo

Dynamic model of the thorax for ECG and ICG studies

J. Hyttinen, Jyrki Lötjönen, P. Kauppinen, M. Saarilampi, R.-K. Mäenpää, M. Jerosch-Herold, J. Zhang, R. Patterson, Jaakko Malmivuo

VTT Technical Research Centre of Finland

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

Abstract

A 3D model of the thorax as a volume conductor representing 18 time instances of the cardiac cycle was constructed. The model is based on 18 sets of MR images representing 56 slices with 0.5 cm slice distance. The image sets were segmented on a two-stage process. The first time set of images was segmented based on 2D semiautomatic region growing method. The volumes occupied by 28 tissue types were determined. In the second phase mapping of the voxels between the other time instances were calculated based on deformable geometry models extending the first segmentation to all 18 time instances. The segmentation is directly useable for finite difference model. The model providing the dynamic properties of the thorax will be applied for forward and inverse problem of electrocardiography and simulation of the impedance cardiography and tomography.

Original language	English
Pages (from-to)	81-82
Journal	International Journal of Bioelectromagnetism
Volume	4
Issue number	2
Publication status	Published - 2002
MoE publication type	Not Eligible

Keywords

segmentation
non-rigid registration
thorax
ECG
ICG

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http://www.ijbem.org/volume4/number2/81-82.htm

Cite this

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title = "Dynamic model of the thorax for ECG and ICG studies",

abstract = "A 3D model of the thorax as a volume conductor representing 18 time instances of the cardiac cycle was constructed. The model is based on 18 sets of MR images representing 56 slices with 0.5 cm slice distance. The image sets were segmented on a two-stage process. The first time set of images was segmented based on 2D semiautomatic region growing method. The volumes occupied by 28 tissue types were determined. In the second phase mapping of the voxels between the other time instances were calculated based on deformable geometry models extending the first segmentation to all 18 time instances. The segmentation is directly useable for finite difference model. The model providing the dynamic properties of the thorax will be applied for forward and inverse problem of electrocardiography and simulation of the impedance cardiography and tomography.",

keywords = "segmentation, non-rigid registration, thorax, ECG, ICG",

author = "J. Hyttinen and Jyrki L{\"o}tj{\"o}nen and P. Kauppinen and M. Saarilampi and R.-K. M{\"a}enp{\"a}{\"a} and M. Jerosch-Herold and J. Zhang and R. Patterson and Jaakko Malmivuo",

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year = "2002",

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T1 - Dynamic model of the thorax for ECG and ICG studies

AU - Hyttinen, J.

AU - Lötjönen, Jyrki

AU - Kauppinen, P.

AU - Saarilampi, M.

AU - Mäenpää, R.-K.

AU - Jerosch-Herold, M.

AU - Zhang, J.

AU - Patterson, R.

AU - Malmivuo, Jaakko

N1 - Project code: T2SU00362

PY - 2002

Y1 - 2002

N2 - A 3D model of the thorax as a volume conductor representing 18 time instances of the cardiac cycle was constructed. The model is based on 18 sets of MR images representing 56 slices with 0.5 cm slice distance. The image sets were segmented on a two-stage process. The first time set of images was segmented based on 2D semiautomatic region growing method. The volumes occupied by 28 tissue types were determined. In the second phase mapping of the voxels between the other time instances were calculated based on deformable geometry models extending the first segmentation to all 18 time instances. The segmentation is directly useable for finite difference model. The model providing the dynamic properties of the thorax will be applied for forward and inverse problem of electrocardiography and simulation of the impedance cardiography and tomography.

AB - A 3D model of the thorax as a volume conductor representing 18 time instances of the cardiac cycle was constructed. The model is based on 18 sets of MR images representing 56 slices with 0.5 cm slice distance. The image sets were segmented on a two-stage process. The first time set of images was segmented based on 2D semiautomatic region growing method. The volumes occupied by 28 tissue types were determined. In the second phase mapping of the voxels between the other time instances were calculated based on deformable geometry models extending the first segmentation to all 18 time instances. The segmentation is directly useable for finite difference model. The model providing the dynamic properties of the thorax will be applied for forward and inverse problem of electrocardiography and simulation of the impedance cardiography and tomography.

KW - segmentation

KW - non-rigid registration

KW - thorax

KW - ECG

KW - ICG

M3 - Article

SN - 1456-7857

VL - 4

SP - 81

EP - 82

JO - International Journal of Bioelectromagnetism

JF - International Journal of Bioelectromagnetism

IS - 2

ER -

Dynamic model of the thorax for ECG and ICG studies

Abstract

Keywords

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