Diogo F. Silva;Sebastian Reinartz;Thomas Muders;Karin Wodack;Christian Putensen;Robert Siepmann;Benjamin Hentze;Steffen Leonhardt
{"title":"Contrast-Enhanced EIT Robustly Tracks Regional Lung Perfusion Compared to Non-Enhanced EIT and Pulmonary CT","authors":"Diogo F. Silva;Sebastian Reinartz;Thomas Muders;Karin Wodack;Christian Putensen;Robert Siepmann;Benjamin Hentze;Steffen Leonhardt","doi":"10.1109/TMI.2025.3552037","DOIUrl":null,"url":null,"abstract":"Regional perfusion monitoring, often performed by pulmonary perfusion computed tomography, is vital in intensive care units. Electrical impedance tomography, repeatable and of non-invasive nature, could provide an attractive alternative. This study compares non-enhanced and contrast-enhanced electrical impedance tomography to computed tomography under induced central to peripheral lung perfusion impairments and cardiac output modulation in 11 animals. A new algorithmic framework using multi-compartment modeling and tracer kinetics was developed to improve perfusion estimation. A multi-resolution mixed models analysis shows electrical impedance tomography agrees poorly with computed tomography in static monitoring, with limits of agreement exceeding relative errors of 100%. For trend tracking,contrast-enhancement with 5.85% NaCl yielded concordance rates above 80%, and over 90% for peripheral impairments, emerging as a robust tracker of coarse to fine perfusion changes. Non-enhanced electrical impedance tomography peaked around 60% under central impairment and cardiac modulation, proving to be less reliable.","PeriodicalId":94033,"journal":{"name":"IEEE transactions on medical imaging","volume":"44 9","pages":"3683-3693"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on medical imaging","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10933520/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Regional perfusion monitoring, often performed by pulmonary perfusion computed tomography, is vital in intensive care units. Electrical impedance tomography, repeatable and of non-invasive nature, could provide an attractive alternative. This study compares non-enhanced and contrast-enhanced electrical impedance tomography to computed tomography under induced central to peripheral lung perfusion impairments and cardiac output modulation in 11 animals. A new algorithmic framework using multi-compartment modeling and tracer kinetics was developed to improve perfusion estimation. A multi-resolution mixed models analysis shows electrical impedance tomography agrees poorly with computed tomography in static monitoring, with limits of agreement exceeding relative errors of 100%. For trend tracking,contrast-enhancement with 5.85% NaCl yielded concordance rates above 80%, and over 90% for peripheral impairments, emerging as a robust tracker of coarse to fine perfusion changes. Non-enhanced electrical impedance tomography peaked around 60% under central impairment and cardiac modulation, proving to be less reliable.