Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data

• المؤلفون الرئيسيون: Awasthi, Navchetan, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K.
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Bioengineering; Photoacoustic Tomography (PAT); Singular Value Decomposition (SVD)
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146408

The reconstruction methods for solving the ill-posed inverse problem of photoacoustic tomography with limited noisy data are iterative in nature to provide accurate solutions. These methods performance is highly affected by the noise level in the photoacoustic data. A singular value decomposition (S...