Center of Ventilation-Methods of Calculation using Electrical Impedance Tomography and the Influence of Image Segmentation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F16%3A00304278" target="_blank" >RIV/68407700:21460/16:00304278 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_241" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32703-7_241</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_241" target="_blank" >10.1007/978-3-319-32703-7_241</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Center of Ventilation-Methods of Calculation using Electrical Impedance Tomography and the Influence of Image Segmentation

Popis výsledku v původním jazyce

Electrical impedance tomography (EIT) is a promising non-invasive, radiation-free imaging modality. Using EIT-derived index Center of ventilation (CoV), ventral-to-dorsal shifts in distribution of lung ventilation can be assessed. The methods of CoV calculation differ among authors and so does the segmentation of EIT images from which the CoV is calculated. The aim of this study is to compare the values of CoV obtained using different algorithms, applied in variously segmented EIT images. An animal trial (n=4) with anesthetized mechanically ventilated pigs was conducted. In one animal, acute respiratory distress syndrome (ARDS) was induced by repeated whole lung lavage. Incremental steps in positive end-expiratory pressure (PEEP), each with a value of 5 cmH(2)O (or 4 cmH(2)O in the ARDS model), were performed to reach total PEEP level of 25 cmH(2)O (or 22 cmH(2)O in the ARDS model). EIT data were acquired continuously during this PEEP trial. From each PEEP level, 30 tidal variation (TV) images were used for analysis. Functional regions of interest (ROI) were defined based on the standard deviation (SD) of pixel values, using threshold 15%-35% of maximum pixel SD. The results of this study show that there might be statistically significant differences between the values obtained using different methods for calculation of CoV. The differences occured in healthy animals as well as in the ARDS model. Both investigated algorithms are relatively insensitive to the image segmentation.

Název v anglickém jazyce

Center of Ventilation-Methods of Calculation using Electrical Impedance Tomography and the Influence of Image Segmentation

Popis výsledku anglicky

Electrical impedance tomography (EIT) is a promising non-invasive, radiation-free imaging modality. Using EIT-derived index Center of ventilation (CoV), ventral-to-dorsal shifts in distribution of lung ventilation can be assessed. The methods of CoV calculation differ among authors and so does the segmentation of EIT images from which the CoV is calculated. The aim of this study is to compare the values of CoV obtained using different algorithms, applied in variously segmented EIT images. An animal trial (n=4) with anesthetized mechanically ventilated pigs was conducted. In one animal, acute respiratory distress syndrome (ARDS) was induced by repeated whole lung lavage. Incremental steps in positive end-expiratory pressure (PEEP), each with a value of 5 cmH(2)O (or 4 cmH(2)O in the ARDS model), were performed to reach total PEEP level of 25 cmH(2)O (or 22 cmH(2)O in the ARDS model). EIT data were acquired continuously during this PEEP trial. From each PEEP level, 30 tidal variation (TV) images were used for analysis. Functional regions of interest (ROI) were defined based on the standard deviation (SD) of pixel values, using threshold 15%-35% of maximum pixel SD. The results of this study show that there might be statistically significant differences between the values obtained using different methods for calculation of CoV. The differences occured in healthy animals as well as in the ARDS model. Both investigated algorithms are relatively insensitive to the image segmentation.

Druh

D - Stať ve sborníku

CEP obor

FS - Lékařská zařízení, přístroje a vybavení

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016

ISBN

978-3-319-32703-7

ISSN

1680-0737

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1258-1263

Název nakladatele

Springer

Místo vydání

New York

Místo konání akce

Paphos

Datum konání akce

31. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000376283000241