Fast Iterative Shrinkage-Thresholding Algorithm with Continuation for Brain Injury Monitoring Imaging Based on Electrical Impedance Tomography

Fast Iterative Shrinkage-Thresholding Algorithm with Continuation for Brain Injury Monitoring Imaging Based on Electrical Impedance Tomography

Electrical impedance tomography (EIT) is low-cost and noninvasive and has the potential for real-time imaging and bedside monitoring of brain injury. However, brain injury monitoring by EIT imaging suffers from image noise (IN) and resolution problems, causing blurred reconstructions. To address the...

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Bibliographic Details
Main Authors: Xuechao Liu, Tao Zhang, Jian’an Ye, Xiang Tian, Weirui Zhang, Bin Yang, Meng Dai, Canhua Xu, Feng Fu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
electrical impedance tomography
reconstruction algorithm
brain injury monitoring imaging
fast iterative shrinkage-thresholding algorithm
least absolute shrinkage and selection operator model
Online Access:https://www.mdpi.com/1424-8220/22/24/9934

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https://www.mdpi.com/1424-8220/22/24/9934

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