Logistic regression in image reconstruction in electrical impedance tomography

• Autorzy: Kozłowski Edward , Rymarczyk Tomasz , Kłosowski Grzegorz , Cieplak Tomasz

Identyfikatory

DOI

10.15199/48.2020.05.19

Warianty tytułu

PL

Problem rekonstrukcji obrazu w elektrycznej tomografii impedancyjnej

• Języki publikacji: EN

Abstrakty

EN

The problem of image reconstruction in electrical impedance tomography (EIT) consists in both performing measurements using a set of sensors and creating of reconstruction based on these measurements. The image reconstruction requires accurate modeling of area, which presents field of view. To determine the inclusion in analyzed area the logistic regression has been applied. Additionally to select the predictors in logistic regression the elasticnet method has been used.

PL

Problem rekonstrukcji obrazu w elektrycznej tomografii impedancyjnej (EIT) polega zarówno na wykonywaniu pomiarów przy użyciu zestawu czujników, jak i na tworzeniu rekonstrukcji na podstawie tych pomiarów. Rekonstrukcja obrazu wymaga dokładnego modelowania obszaru, który przedstawia pole widzenia. Do określenia wtrąceń w analizowanym obszarze zastosowano regresję logistyczną. Dodatkowo do wyboru predyktorów w regresji logistycznej zastosowano metodę elasticnet.

Słowa kluczowe

EN

electrical impedance tomography; logistic regression; EIT; elasticnet

PL

tomografia impedancyjna; regresja logistyczna; EIT; elasticnet

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 5
• Strony: 95--98
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Kozłowski Edward

• Lublin University of Technology, Nadbystrzycka 38A, Lublin, Poland

autor

Rymarczyk Tomasz

• Research & Development Centre Netrix S.A.
• University of Economics and Innovation, Projektowa 4, Lublin, Poland

autor

Kłosowski Grzegorz

• Lublin University of Technology, Nadbystrzycka 38A, Lublin, Poland

autor

Cieplak Tomasz

• Lublin University of Technology, Nadbystrzycka 38A, Lublin, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).