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
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 24; p. 9934
Main Authors:	Liu, Xuechao, Zhang, Tao, Ye, Jian’an, Tian, Xiang, Zhang, Weirui, Yang, Bin, Dai, Meng, Xu, Canhua, Fu, Feng
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.12.2022 MDPI
Subjects:	Algorithms Brain Brain Injuries - diagnostic imaging brain injury monitoring imaging Comparative analysis Electric Impedance electrical impedance tomography fast iterative shrinkage-thresholding algorithm Humans Image Processing, Computer-Assisted - methods Injuries Inverse problems Ischemia least absolute shrinkage and selection operator model Methods Numerical analysis Patient monitoring equipment Phantoms, Imaging reconstruction algorithm Simulation methods Tomography Tomography - methods Tomography, X-Ray Computed Traumatic brain injury reconstruction algorithm least absolute shrinkage and selection operator model fast iterative shrinkage-thresholding algorithm electrical impedance tomography brain injury monitoring imaging
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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