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
• 其他作者: School of Chemical and Biomedical Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: Photoacoustic Tomography; Image Reconstruction; DRNTU::Engineering::Chemical engineering
• 在線閱讀: https://hdl.handle.net/10356/90005; http://hdl.handle.net/10220/46722
• 機構: 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...