18 citations · 18 across the 1 of their papers we have counts for
4 papers
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography
Navchetan Awasthi, Rohit Pardasani, Sandeep Kumar Kalva +2
The quality of the reconstructed photoacoustic image largely depends on the amount of photoacoustic (PA) boundary data available, which in turn is proportional to the number of det…
Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization
Nadaparambil Aravindakshan Rejesh, Sandeep Kumar Kalva, Manojit Pramanik +1
We propose a model-based image reconstruction method for photoacoustic tomography(PAT) involving a novel form of regularization and demonstrate its ability to recover good quality…
Eigenspace-Based Minimum Variance Combined with Delay Multiply and Sum Beamformer: Application to Linear-Array Photoacoustic Imaging
Moein Mozaffarzadeh, Ali Mahloojifar, Vijitha Periyasamy +2
In Photoacoustic imaging, Delay-and-Sum (DAS) algorithm is the most commonly used beamformer. However, it leads to a low resolution and high level of sidelobes. Delay-Multiply-and-…
An Efficient Nonlinear Beamformer Based on P^{th} Root of Detected Signals for Linear-Array Photoacoustic Tomography: Application to Sentinel Lymph Node Imaging
Moein Mozaffarzadeh, Vijitha Periyasamy, Manojit Pramanik +1
In linear-array transducer based photoacoustic (PA) imaging, B-scan PA images are formed using the raw channel PA signals. Delay-and-Sum (DAS) is the most prevalent algorithm due t…