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A comparison of bound-constrained and positivity-constrained optimization method to estimate head tissue conductivities by scalp voltage information

Electrical Impedance Tomography (EIT) is a noninvasive method used to estimate the conductivity of head tissues. Estimation based on the unconstrained Gauss-Newton (GN) method is conventional, but it may result in negative-value or extraordinary high-value estimates, which are unexpected. In this st...

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Permalink: http://skupni.nsk.hr/Record/nsk.NSK01001060379/Details
Matična publikacija: International journal of electrical and computer engineering systems (Online)
10 (2019), 1 ; str. 25-33
Glavni autori: Ouypornkochagorn, Taweechai (Author), Khattiyawech, Chollanant, Keatsiritawon, Natnicha
Vrsta građe: e-članak
Jezik: eng
Predmet:
Električna impedancijska tomografija > Optimizacija > Medicinski dijagnostički uređaji
Online pristup: https://doi.org/https://doi.org/10.32985/ijeces.10.1.4
International journal of electrical and computer engineering systems (Online)
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080 1 |a 621.3  |2 2011 
100 1 |a Ouypornkochagorn, Taweechai  |4 aut  |9 HR-ZaNSK 
245 1 2 |a A comparison of bound-constrained and positivity-constrained optimization method to estimate head tissue conductivities by scalp voltage information  |h [Elektronička građa] /  |c Taweechai Ouypornkochagorn, Chollanant Khattiyawech, Natnicha Keatsiritawon. 
300 |b Ilustr. 
504 |a Bibliografija: 20 jed. 
504 |a Abstract. 
520 |a Electrical Impedance Tomography (EIT) is a noninvasive method used to estimate the conductivity of head tissues. Estimation based on the unconstrained Gauss-Newton (GN) method is conventional, but it may result in negative-value or extraordinary high-value estimates, which are unexpected. In this study, the bound-constrained method and the positivity-constrained optimization method were investigated and compared to the unconstrained optimization method. A two-dimensional model was created for conductivity estimation containing five head tissues, i.e., the scalp, the skull, the cerebrospinal fluid (CSF), grey matter (GM), and white matter (WM). The results showed that the accuracy, the robustness, and the estimation convergence of the estimation of this approach were significantly improved by constraining. All unexpected values also disappeared. The investigation proved that very high sensitivity of the skull region caused the unexpected outcome of the unconstrained cases. This high sensitivity can be significantly reduced by constraining. However, a degree of estimation nonlinearity can be increased by constraining as well, causing some estimation accuracies in the case of the positivity-constrained optimization method to be poor. Therefore, it is recommended to use only the bound-constrained optimization method. 
653 0 |a Električna impedancijska tomografija  |a Optimizacija  |a Medicinski dijagnostički uređaji 
700 1 |a Khattiyawech, Chollanant  |4 aut  |9 HR-ZaNSK 
700 1 |a Keatsiritawon, Natnicha  |4 aut  |9 HR-ZaNSK 
773 0 |t International journal of electrical and computer engineering systems (Online)  |x 1847-7003  |g 10 (2019), 1 ; str. 25-33  |w nsk.(HR-ZaNSK)000739692 
981 |b Be2019  |b B02/19 
998 |b tino2004 
856 4 0 |u https://doi.org/https://doi.org/10.32985/ijeces.10.1.4 
856 4 0 |u http://www.etfos.unios.hr/ijeces/papers/a-comparison-of-bound-constrained-and-positivity-constrained-optimization-method-to-estimate-head-tissue-conductivities-by-scalp-voltage-information/  |y International journal of electrical and computer engineering systems (Online) 
856 4 0 |u https://hrcak.srce.hr/231893  |y Hrčak 
856 4 1 |y Digitalna.nsk.hr 

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