IMPEDANCE IMAGE RECONSTRUCTION WITH ARTIFICIAL NEURAL NETWORK IN ELECTRICAL IMPEDANCE TOMOGRAPHY

Beyhan KİLİC

doi:https://doi.org/10.36222/ejt.650616

Makale detayları

IMPEDANCE IMAGE RECONSTRUCTION WITH ARTIFICIAL NEURAL NETWORK IN ELECTRICAL IMPEDANCE TOMOGRAPHY

Yazarlar:

Beyhan KİLİC

Yayıncı:

Hibetullah KILIÇ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.137-144

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000425592

eISSN:

2536-5134

pISSN:

2536-5010

DOI:

https://doi.org/10.36222/ejt.650616

Özet:

 


Electrical
impedance tomography views the electrical properties of the objects by
injecting current with surface electrodes and measuring voltages. Then using a
reconstructing algorithm, from the measured voltage-current values,
conductivity distribution of the object calculated. Finding internal
conductivity from surface voltage-current measurements is a reverse and
ill-posed problem.





Therefore,
high error sensitivity, and making approximations in conceiving complex
computations cause to limited spatial resolution. The classic iterative image
reconstruction algorithms have reconstruction errors. Accordingly, Electrical
impedance tomography images suffer low accuracy. It is necessary to evaluate
the collected data from the object surface with a new approach. In this paper,
the forward problem solved with the finite element method to reconstruct the
conductivity distribution inside the object, 
the reverse problem solved by the neural network approach. Image reconstruction
speed, conceptual simplicity, and ease of implementation maintained by  this approach.


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Makale detayları

IMPEDANCE IMAGE RECONSTRUCTION WITH ARTIFICIAL NEURAL NETWORK IN ELECTRICAL IMPEDANCE TOMOGRAPHY

Yazarlar: Beyhan KİLİC

Yayıncı: Hibetullah KILIÇ

Ana Başlıklar: Uygulamalı fizik

Dergi: European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.137-144

Belge Tipi: Makale

Yayın Tarihi: 12/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000425592

eISSN: 2536-5134

pISSN: 2536-5010

DOI: https://doi.org/10.36222/ejt.650616

Sayı

Yazarlar:

Beyhan KİLİC

Yayıncı:

Hibetullah KILIÇ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.137-144

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000425592

eISSN:

2536-5134

pISSN:

2536-5010

DOI:

https://doi.org/10.36222/ejt.650616