Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography

• Main Authors: Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K., Sanny, Dween Rabius, Prakash, Jaya
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Photoacoustic Tomography; Image Reconstruction; DRNTU::Engineering::Chemical engineering
• Online Access: https://hdl.handle.net/10356/90005; http://hdl.handle.net/10220/46722
• Institution: Nanyang Technological University

Photoacoustic tomography tends to be an ill-conditioned problem with noisy limited data, requiring imposition of regularization constraints like standard Tikhonov or total-variation to reconstruct meaningful initial pressure rise distribution from the tomographic acoustic measurements acquired at th...