Lungs anomaly detection by filtered back projection reconstruction method
in electrical impedance tomography
a Engineering
Physics Program, Indonesia
b Informatics Program, Institut Teknologi Bandung, Bandung, Indonesia c
b Informatics Program, Institut Teknologi Bandung, Bandung, Indonesia c
Abstract
The
electrical impedance tomography (EIT) is a promising imaging modality for early
detection of lung disease. Several advantages of EIT imaging, such as save,
simple and low cost. However, the better reconstruction method is still under
investigated. The paper proposed filtered back projection to produce an anomaly
image in the lungs. The method is applied to reconstruct an image from relative
potential data of expiration and inspiration and also on normal lung and lung
with anomaly. The simulation shows that the reconstruction method of filtered
back projection from the relative potential data of expiration and inspiration
have not been able to detect any anomalies, but from the relative potential data
of normal lungs and lungs with anomaly is able to detect the presence and
position of anomaly although have not been able to distinguish the size of the
anomaly. © 2013 IEEE.
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