Regularization in ultrasound tomography using projection-based regularized total least squares

DOI10.1080/17415977.2019.1628227zbMath1466.92084OpenAlexW2952775180MaRDI QIDQ4991471

Mohamed Almekkawy, Ahmed Abdou, Geunseop Lee, Jiayu He, Jesse L. Barlow, Anita Carević

Publication date: 3 June 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2019.1628227

zbMATH Keywords

inverse problemregularizationultrasound tomographydistorted Born iterative method

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Numerical methods for inverse problems for integral equations (65R32) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Uses Software

• Regularization tools
• VanHuffel

Cites Work

• Unnamed Item
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• Regularization tools version \(4.0\) for matlab \(7.3\)
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• The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
• Regularization by Truncated Total Least Squares
• Newton-Kantorovitch algorithm applied to an electromagnetic inverse problem
• Efficient Algorithms for Solution of Regularized Total Least Squares
• Tikhonov Regularization and Total Least Squares
• On the equivalence of the Newton-Kantorovich and distorted Born methods

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