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Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method

Lung EIT is a functional imaging method that utilizes electrical currents to reconstruct images of conductivity changes inside the thorax. This technique is radiation free and applicable at the bedside, but lacks of spatial resolution compared to morphological imaging methods such as X-ray computed...

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Autores principales: Schullcke, Benjamin, Gong, Bo, Krueger-Ziolek, Sabine, Soleimani, Manuchehr, Mueller-Lisse, Ullrich, Moeller, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867600/
https://www.ncbi.nlm.nih.gov/pubmed/27181695
http://dx.doi.org/10.1038/srep25951
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author Schullcke, Benjamin
Gong, Bo
Krueger-Ziolek, Sabine
Soleimani, Manuchehr
Mueller-Lisse, Ullrich
Moeller, Knut
author_facet Schullcke, Benjamin
Gong, Bo
Krueger-Ziolek, Sabine
Soleimani, Manuchehr
Mueller-Lisse, Ullrich
Moeller, Knut
author_sort Schullcke, Benjamin
collection PubMed
description Lung EIT is a functional imaging method that utilizes electrical currents to reconstruct images of conductivity changes inside the thorax. This technique is radiation free and applicable at the bedside, but lacks of spatial resolution compared to morphological imaging methods such as X-ray computed tomography (CT). In this article we describe an approach for EIT image reconstruction using morphologic information obtained from other structural imaging modalities. This leads to recon- structed images of lung ventilation that can easily be superimposed with structural CT or MRI images, which facilitates image interpretation. The approach is based on a Discrete Cosine Transformation (DCT) of an image of the considered transversal thorax slice. The use of DCT enables reduction of the dimensionality of the reconstruction and ensures that only conductivity changes of the lungs are reconstructed and displayed. The DCT based approach is well suited to fuse morphological image information with functional lung imaging at low computational costs. Results on simulated data indicate that this approach preserves the morphological structures of the lungs and avoids blurring of the solution. Images from patient measurements reveal the capabilities of the method and demonstrate benefits in possible applications.
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spelling pubmed-48676002016-05-31 Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method Schullcke, Benjamin Gong, Bo Krueger-Ziolek, Sabine Soleimani, Manuchehr Mueller-Lisse, Ullrich Moeller, Knut Sci Rep Article Lung EIT is a functional imaging method that utilizes electrical currents to reconstruct images of conductivity changes inside the thorax. This technique is radiation free and applicable at the bedside, but lacks of spatial resolution compared to morphological imaging methods such as X-ray computed tomography (CT). In this article we describe an approach for EIT image reconstruction using morphologic information obtained from other structural imaging modalities. This leads to recon- structed images of lung ventilation that can easily be superimposed with structural CT or MRI images, which facilitates image interpretation. The approach is based on a Discrete Cosine Transformation (DCT) of an image of the considered transversal thorax slice. The use of DCT enables reduction of the dimensionality of the reconstruction and ensures that only conductivity changes of the lungs are reconstructed and displayed. The DCT based approach is well suited to fuse morphological image information with functional lung imaging at low computational costs. Results on simulated data indicate that this approach preserves the morphological structures of the lungs and avoids blurring of the solution. Images from patient measurements reveal the capabilities of the method and demonstrate benefits in possible applications. Nature Publishing Group 2016-05-16 /pmc/articles/PMC4867600/ /pubmed/27181695 http://dx.doi.org/10.1038/srep25951 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Schullcke, Benjamin
Gong, Bo
Krueger-Ziolek, Sabine
Soleimani, Manuchehr
Mueller-Lisse, Ullrich
Moeller, Knut
Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title_full Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title_fullStr Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title_full_unstemmed Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title_short Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method
title_sort structural-functional lung imaging using a combined ct-eit and a discrete cosine transformation reconstruction method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867600/
https://www.ncbi.nlm.nih.gov/pubmed/27181695
http://dx.doi.org/10.1038/srep25951
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