On reconstruction of binary images by efficient sample-based parameterization in applications for electrical impedance tomography-Reference-Cited by-同舟云学术

On reconstruction of binary images by efficient sample-based parameterization in applications for electrical impedance tomography

Published:2022-03-11 Issue:11 Volume:99 Page:2272-2289
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Arbic II Paul R.¹^ORCID,Bukshtynov Vladislav¹^ORCID

Affiliation:

1. Department of Mathematical Sciences, Florida Institute of Technology, Melbourne, FL, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2022.2046267

Reference36 articles.

1. Electrical impedance tomography in anisotropic media with known eigenvectors

2. Cancer detection through Electrical Impedance Tomography and optimal control theory: theoretical and computational analysis

3. A. Adler, J. Arnold, R. Bayford, A. Borsic, B. Brown, P. Dixon, T. Faes, I. Frerichs, H. Gagnon, Y. Garber, and B. Grychtol, GREIT: Towards a consensus EIT algorithm for lung images, 9th EIT Conference 2008, 16–18 June 2008, Dartmouth, NH, 06. Citeseer, 2008.

4. Electrical Impedance Tomography

5. P.R. Arbic II, Optimization framework for reconstructing biomedical images by efficient sample-based parameterization, M.S. thesis, Florida Institute of Technology, Scholarship Repository, 2020. Available at http://hdl.handle.net/11141/3220

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