Higher order total variation regularization for EIT reconstruction.
Electrical impedance tomography (EIT) attempts to reveal the conductivity distribution of a domain based on the electrical boundary condition. This is an ill-posed inverse problem; its solution is very unstable. Total variation (TV) regularization is one of the techniques commonly employed to stabil...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 8; pp. 1367 - 1379 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130773120&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130773120 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2018 vid: 56 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 130773120 130773120 NLM29308547 130773120 10.1007/s11517-017-1782-z NLM29308547 130773120 ppf: 1367 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Higher order total variation regularization for EIT reconstruction. aug: au: Gong, Bo Schullcke, Benjamin Krueger-Ziolek, Sabine Zhang, Fan Mueller-Lisse, Ullrich Moeller, Knut affil: Institute of Technical Medicine, Furtwangen University, VS-Schwenningen, Germany sug: subj: Tomography Electric Impedance Image Processing, Computer Assisted Lung Anatomy and Histology Systems Analysis Computer Simulation Algorithms Finite Element Analysis Human ab: Electrical impedance tomography (EIT) attempts to reveal the conductivity distribution of a domain based on the electrical boundary condition. This is an ill-posed inverse problem; its solution is very unstable. Total variation (TV) regularization is one of the techniques commonly employed to stabilize reconstructions. However, it is well known that TV regularization induces staircase effects, which are not realistic in clinical applications. To reduce such artifacts, modified TV regularization terms considering a higher order differential operator were developed in several previous studies. One of them is called total generalized variation (TGV) regularization. TGV regularization has been successively applied in image processing in a regular grid context. In this study, we adapted TGV regularization to the finite element model (FEM) framework for EIT reconstruction. Reconstructions using simulation and clinical data were performed. First results indicate that, in comparison to TV regularization, TGV regularization promotes more realistic images. Graphical abstract Reconstructed conductivity changes located on selected vertical lines. For each of the reconstructed images as well as the ground truth image, conductivity changes located along the selected left and right vertical lines are plotted. In these plots, the notation GT in the legend stands for ground truth, TV stands for total variation method, and TGV stands for total generalized variation method. Reconstructed conductivity distributions from the GREIT algorithm are also demonstrated. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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