Now showing items 1-4 of 4
Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography
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 ...
Image guided filtering for improving photoacoustic tomographic image reconstruction
Several algorithms exist to solve the photoacoustic image reconstruction problem depending on the expected reconstructed image features. These reconstruction algorithms promote typically one feature, such as being smooth ...
A comparative study of continuous versus stop-and-go scanning in circular scanning photoacoustic tomography
Photoacoustic tomography (PAT) is a noninvasive hybrid imaging modality providing high contrast and resolution in deep tissue imaging. In a typical PAT system, the photoacoustic (PA) waves are recorded using an ultrasound ...
Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
Purpose: Development of simple and computationally efficient extrapolated Tikhonov filtering reconstruction methods for photoacoustic tomography. Methods: The model-based reconstruction algorithms in photoacoustic tomography ...