A CONJUGATE GRADIENT-NEURAL NETWORK TECHNIQUE FOR ULTRASOUND INVERSE IMAGING

DOI10.1142/S0218396X02001644zbMath1360.94050OpenAlexW4246855145MaRDI QIDQ2981712

Patrick J. Flynn, Shira L. Broschat, Xiao-Dong Zhang

Publication date: 9 May 2017

Published in: Journal of Computational Acoustics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218396x02001644

zbMATH Keywords

inverse problemsconjugate gradient methodultrasound imagingneural network/break techniques

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• A modified gradient method for two-dimensional problems in tomography
• Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search
• Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
• The conjugate gradient method in extremal problems

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