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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

FS - Medical facilities, apparatus and equipment

OECD FORD branch

—

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016

ISBN

978-3-319-32703-7

ISSN

1680-0737

e-ISSN

—

Number of pages

6

Pages from-to

1258-1263

Publisher name

Springer

Place of publication

New York

Event location

Paphos

Event date

Mar 31, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000376283000241