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Non-invasive Imaging the Relative Changes in Cerebral Blood Volume during Total Aortic-arch Replacement Using Electrical Impedance Tomography: a First Study

Published: 24 August 2019 Publication History

Abstract

Total aortic-arch replacement (TAR) is one of the major cardiovascular surgeries, which is by far the most effective emergency treatment of Acute Aortic Dissection type-A (AADA). In TAR, cardiopulmonary bypass is established and the aortic arch is replaced and reconstructed. Though hypothermic circulatory arrest (HCA) and unilateral antegrade cerebral perfusion (uACP) are often used for brain protection, parts of the brain may still encounter insufficient blood supply. With prolonged HCA time, this insufficiency causes brain injuries. Currently, there lacks an effective, real-time cerebral imaging technique that can be used in cardiac surgeries. Electrical impedance tomography (EIT) is a low-cost, non-invasive imaging method, which is sensitive to the bio-electrical impedance of tissues. In this study, we are the first using electrical impedance tomography (EIT) intraoperatively to image and monitor the relative changes in cerebral blood volume (rc-CBV). A subject with AADA is monitored using EIT in TAR surgeries and EIT images during the HCA + uACP period are reconstructed and analyzed. A blood factorization model was proposed to estimate the relative changes in blood proportion using EIT images. We found that (1) EIT images are sensitive to the changes in the rate of cerebral perfusion. (2) During uACP, the right hemisphere is perfused directly via cannulation into the right subclavian artery and the circulation to the left cerebral is mainly compensated through the circle of Willis. EIT and rc-CBV images show relatively high impedance and low blood ratios in the left hemisphere, which indicates that the patient may have insufficient collateral circulation. (3) EIT has moderate spatial resolutions, which provides additional information regarding the pathological changes in different regions deep in the brain. We conclude that cerebral EIT is a promising imaging method and it may provide early warning signs regarding insufficient cerebral blood supply in TAR surgeries.

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  • (2023)Temperature Characteristics of the Conductivity of Human Cerebrospinal Fluid at 10 Hz–100 MHzThe proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022)10.1007/978-981-99-3404-1_52(589-596)Online publication date: 14-Aug-2023
  • (2022)Fast Iterative Shrinkage-Thresholding Algorithm with Continuation for Brain Injury Monitoring Imaging Based on Electrical Impedance TomographySensors10.3390/s2224993422:24(9934)Online publication date: 16-Dec-2022
  • (2022)Temperature dependence of dielectric properties of blood at 10 Hz–100 MHzFrontiers in Physiology10.3389/fphys.2022.105323313Online publication date: 26-Oct-2022
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    cover image ACM Other conferences
    ISICDM 2019: Proceedings of the Third International Symposium on Image Computing and Digital Medicine
    August 2019
    370 pages
    ISBN:9781450372626
    DOI:10.1145/3364836
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 24 August 2019

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    Author Tags

    1. Electrical impedance tomography (EIT)
    2. cardiopulmonary bypass (CPB)
    3. hypothermic circulatory arrest (HCA)
    4. total aortic-arch replacement (TAR)

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    View all
    • (2023)Temperature Characteristics of the Conductivity of Human Cerebrospinal Fluid at 10 Hz–100 MHzThe proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022)10.1007/978-981-99-3404-1_52(589-596)Online publication date: 14-Aug-2023
    • (2022)Fast Iterative Shrinkage-Thresholding Algorithm with Continuation for Brain Injury Monitoring Imaging Based on Electrical Impedance TomographySensors10.3390/s2224993422:24(9934)Online publication date: 16-Dec-2022
    • (2022)Temperature dependence of dielectric properties of blood at 10 Hz–100 MHzFrontiers in Physiology10.3389/fphys.2022.105323313Online publication date: 26-Oct-2022
    • (2022)Advances of deep learning in electrical impedance tomography image reconstructionFrontiers in Bioengineering and Biotechnology10.3389/fbioe.2022.101953110Online publication date: 14-Dec-2022

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