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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4867600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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