DocumentCode :
2393803
Title :
Optimal tissue types in the thoracic electrical impedance model for thoracic electrical bioimpedance (TEB) studies
Author :
Akhand, M. ; Trakic, A. ; Terril, P. ; Liu, F. ; Wilson, S. ; Crozier, S.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3913
Lastpage :
3916
Abstract :
In this study we have identified the tissues required to be included in the thoracic electrical impedance model for studies relating to impedance cardiography. This is a useful finding, as it expedites and simplifies the segmentation process when employed to construct digital human models from a set of magnetic resonance or computed tomography images. Laplace equations with inhomogeneous boundary conditions were solved within an anatomically accurate thorax model. When the number of tissue types in the model was reduced to only 7 (i.e. blood, fat, liver, lung, muscle, skin and bone) the calculations indicated a 3.6% error in the result. Addition of internal air reduced the error to as small as 1.3%. Further reductions in the number of tissue types introduced larger errors in the measurement. It was therefore concluded that 8 tissue types are essential to acceptably preserve the computational accuracy while facilitating a simplification of the segmentation process.
Keywords :
Laplace equations; bioelectric potentials; biological tissues; biomedical MRI; cardiology; computerised tomography; electric impedance imaging; image segmentation; Laplace equations; anatomically accurate thorax model; computational accuracy; computed tomography images; digital human models; electric potential; impedance cardiography; inhomogeneous boundary conditions; magnetic resonance images; optimal tissue types; segmentation process; thoracic electrical bioimpedance model; Algorithms; Biophysics; Cardiography, Impedance; Computational Biology; Computer Simulation; Electric Impedance; Electrodes; Electrophysiology; Humans; Models, Anatomic; Models, Statistical; Models, Theoretical; Software; Thorax;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333554
Filename :
5333554
Link To Document :
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