Bayesian Shape Reconstruction Using B-Spline Level Set in Electrical Impedance Tomography-Reference-Cited by-同舟云学术

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Bayesian Shape Reconstruction Using B-Spline Level Set in Electrical Impedance Tomography

Published:2022-10-01 Issue:19 Volume:22 Page:19010-19019
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wu Yang¹^ORCID,Zhou Tong²,Chen Bai¹,Liu Kai¹^ORCID,Wang Ruiqiang³,Pan Huaping⁴,Yao Jiafeng¹^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China

3. Ambulanc (Shenzhen) Tech. Company Ltd., Shenzhen, China

4. Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China

Funder

Postgraduate Research & Practice Innovation Program of Jiangsu Province

National Natural Science Foundation of China

Suzhou Science & Technology Plan

Jiangsu Provincial Key Research and Development Program Social Development-Surface Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9906561/09864125.pdf?arnumber=9864125

Reference37 articles.

1. A Practical Guide to Splines

2. Efficient Multitask Structure-Aware Sparse Bayesian Learning for Frequency-Difference Electrical Impedance Tomography

3. Time Sequence Learning for Electrical Impedance Tomography Using Bayesian Spatiotemporal Priors

4. Accelerated Structure-Aware Sparse Bayesian Learning for Three-Dimensional Electrical Impedance Tomography

5. Nonlinear Difference Imaging Approach to Three-Dimensional Electrical Impedance Tomography in the Presence of Geometric Modeling Errors

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1. Electrical impedance tomography image reconstruction for lung monitoring based on ensemble learning algorithms1;Healthcare Technology Letters;2024-04-30

2. Electrical Impedance Tomography Deep Imaging With Dual-Branch U-Net Based on Deformable Convolution and Hyper-Convolution;IEEE Transactions on Instrumentation and Measurement;2024

3. Image Reconstruction in Open-EIT by Combining Inversion Mapping and Sparse Contour Representation;IEEE Transactions on Instrumentation and Measurement;2024

4. Effective Electrical Impedance Tomography Based on Enhanced Encoder–Decoder Using Atrous Spatial Pyramid Pooling Module;IEEE Journal of Biomedical and Health Informatics;2023-07

5. Imaging of intracerebral hemorrhage with adaptive genetic algorithm in brain electrical impedance tomography;Measurement Science and Technology;2023-04-11

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