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

• المؤلفون الرئيسيون: Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K., Sanny, Dween Rabius, Prakash, Jaya
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: Photoacoustic Tomography; Image Reconstruction; DRNTU::Engineering::Chemical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/90005; http://hdl.handle.net/10220/46722

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...