Recently, deep neural networks have attracted great attention in photoacoustic imaging
(PAI). In PAI, reconstructing the initial pressure distribution from acquired photoacoustic (PA) …

Employment of chlorin-based photosensitizers (PSs) provides additional advantages to
photodynamic therapy (PDT) due to absorption peak around 405 nm allowing for superficial …

The methods available for solving the inverse problem of photoacoustic tomography
promote only one feature–either being smooth or sharp–in the resultant image. The fusion of …

Several algorithms exist to solve the photoacoustic image reconstruction problem
depending on the expected reconstructed image features. These reconstruction algorithms …

Purpose Development of simple and computationally efficient extrapolated Tikhonov filtering
reconstruction methods for photoacoustic tomography. Methods The model‐based …

Photoacoustic tomography (PAT) imaging employing polynomial-based interpolation
methods is discussed. Nearest-neighbor, bilinear, bicubic and biquintic algorithms were …

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 …

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 …

Photoacoustic tomography tends to be an ill-conditioned problem with noisy limited data
requiring imposition of regularization constraints, such as standard Tikhonov (ST) or total …

Contrast-based photoacoustic imaging is an emerging imaging technology that gold
nanoparticles (a kind of photoacoustic contrast agent with a size of 100 nm) are injected into …