Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization

Electrical Impedance Tomography (EIT) is a clinically used tool for bed-side monitoring of ventilation. Previous work also showed a high potential for lung perfusion monitoring with indicator-enhanced EIT. However, many research questions have yet to be answered before it can be broadly applied in c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Augustin Xenia, Kircher Michael, Dössel Olaf, Stender Birgit, Bluth Thomas, Gama de Abreu Marcelo
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	eit perfusion measurement rbf tikhonov regularization maximum slope image reconstruction Medicine R
Acceso en línea:	https://doaj.org/article/e270a61a01434ef8ac0fde6a8dc8ab7d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e270a61a01434ef8ac0fde6a8dc8ab7d
record_format	dspace
spelling	oai:doaj.org-article:e270a61a01434ef8ac0fde6a8dc8ab7d2021-12-05T14:10:42ZEstimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization2364-550410.1515/cdbme-2020-3016https://doaj.org/article/e270a61a01434ef8ac0fde6a8dc8ab7d2020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3016https://doaj.org/toc/2364-5504Electrical Impedance Tomography (EIT) is a clinically used tool for bed-side monitoring of ventilation. Previous work also showed a high potential for lung perfusion monitoring with indicator-enhanced EIT. However, many research questions have yet to be answered before it can be broadly applied in clinical everyday life. The goal of this work is to evaluate a new method to improve EIT perfusion measurements. Pulmonary hemodynamic transfer functions were estimated using regularized deconvolution with Tikhonov regularization to estimate spatial perfusion parameters. The final comparison between EIT images and PET scans showed a median correlation of 0.897 for the images which were reconstructed using the regularized deconvolution. In comparison the previously used maximum slope method led to a median correlation of 0.868.Augustin XeniaKircher MichaelDössel OlafStender BirgitBluth ThomasGama de Abreu MarceloDe Gruyterarticleeitperfusion measurementrbftikhonov regularizationmaximum slopeimage reconstructionMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 60-63 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	eit perfusion measurement rbf tikhonov regularization maximum slope image reconstruction Medicine R
spellingShingle	eit perfusion measurement rbf tikhonov regularization maximum slope image reconstruction Medicine R Augustin Xenia Kircher Michael Dössel Olaf Stender Birgit Bluth Thomas Gama de Abreu Marcelo Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
description	Electrical Impedance Tomography (EIT) is a clinically used tool for bed-side monitoring of ventilation. Previous work also showed a high potential for lung perfusion monitoring with indicator-enhanced EIT. However, many research questions have yet to be answered before it can be broadly applied in clinical everyday life. The goal of this work is to evaluate a new method to improve EIT perfusion measurements. Pulmonary hemodynamic transfer functions were estimated using regularized deconvolution with Tikhonov regularization to estimate spatial perfusion parameters. The final comparison between EIT images and PET scans showed a median correlation of 0.897 for the images which were reconstructed using the regularized deconvolution. In comparison the previously used maximum slope method led to a median correlation of 0.868.
format	article
author	Augustin Xenia Kircher Michael Dössel Olaf Stender Birgit Bluth Thomas Gama de Abreu Marcelo
author_facet	Augustin Xenia Kircher Michael Dössel Olaf Stender Birgit Bluth Thomas Gama de Abreu Marcelo
author_sort	Augustin Xenia
title	Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
title_short	Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
title_full	Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
title_fullStr	Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
title_full_unstemmed	Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization
title_sort	estimating regional pulmonary blood flow in eit with regularized deconvolution with a tikhonov regularization
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/e270a61a01434ef8ac0fde6a8dc8ab7d
work_keys_str_mv	AT augustinxenia estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization AT kirchermichael estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization AT dosselolaf estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization AT stenderbirgit estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization AT bluththomas estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization AT gamadeabreumarcelo estimatingregionalpulmonarybloodflowineitwithregularizeddeconvolutionwithatikhonovregularization
_version_	1718371813439832064

Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization

Ejemplares similares