Modeling errors compensation with total least squares for limited data photoacoustic tomography

• Main Authors: Gutta, Sreedevi, Bhatt, Manish, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra Kumar
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Lanczos Bidiagonalization; Image Reconstruction
• Online Access: https://hdl.handle.net/10356/86478; http://hdl.handle.net/10220/44063
• Institution: Nanyang Technological University

The limited data photoacoustic image reconstruction problem is typically solved using either weighted or ordinary least squares (LS), with regularization term being added for stability, which account only for data imperfections (noise). Numerical modeling of acoustic wave propagation requires discre...