NDLI: EM algorithm applied for estimating non-stationary region boundaries using electrical impedance tomography

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EM algorithm applied for estimating non-stationary region boundaries using electrical impedance tomography

Content Provider	Scilit
Author	Khambampati, Anil Kumar Rashid, A. Kim, B. S. Liu, Dong Kim, S. Kim, Kyung Youn
Copyright Year	2010
Description	Journal: Journal of Physics: Conference Series EIT has been used for the dynamic estimation of organ boundaries. One specific application in this context is the estimation of lung boundaries during pulmonary circulation. This would help track the size and shape of lungs of the patients suffering from diseases like pulmonary edema and acute respiratory failure (ARF). The dynamic boundary estimation of the lungs can also be utilized to set and control the air volume and pressure delivered to the patients during artificial ventilation. In this paper, the expectation-maximization (EM) algorithm is used as an inverse algorithm to estimate the non-stationary lung boundary. The uncertainties caused in Kalman-type filters due to inaccurate selection of model parameters are overcome using EM algorithm. Numerical experiments using chest shaped geometry are carried out with proposed method and the performance is compared with extended Kalman filter (EKF). Results show superior performance of EM in estimation of the lung boundary.
Related Links	http://pdfs.semanticscholar.org/ed80/00d43fe29368b84109dd488e56af9f369f0a.pdf http://iopscience.iop.org/article/10.1088/1742-6596/224/1/012044/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/224/1/012044
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	224
Language	English
Publisher	IOP Publishing
Publisher Date	2010-04-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Em Algorithm Stationary Region Impedance Tomography Electrical Impedance Region Boundaries Boundaries Using Using Electrical
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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