对比度(视觉)
断层摄影术
核医学
医学
放射科
计算机科学
人工智能
作者
Diogo Silva,Sebastian Reinartz,Thomas Muders,Karin Wodack,Christian Putensen,Robert Siepmann,Benjamin Hentze,Steffen Leonhardt
标识
DOI:10.1109/tmi.2025.3552037
摘要
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.
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