X-ray nanoprobes require coherent illumination to achieve optic-limited resolution, and so
will benefit directly from diffraction-limited storage rings. Here, the example of high …

We have developed a graphics processor unit (GPU‐) based high‐speed fully 3D system for
diffuse optical tomography (DOT). The reduction in execution time of 3D DOT algorithm, a …

Background Advancement in clinically relevant studies like seizure interruption using
functional neuro imaging tools has shown that specific changes in hemodynamics precede …

A cheap way to speed up image-reconstruction software is to use modern graphics
hardware that can execute algorithms in a massively parallel manner. Here, the authors …

We study the efficient numerical solution of linear inverse problems with operator valued
data which arise, eg, in seismic exploration, inverse scattering, or tomographic imaging. The …

Abstract Diffuse Optical Imaging is relatively new set of imaging modality that use infrared
and near infrared light to characterize the optical properties of biological tissue. The …

At present, the most widely accepted forward model in diffuse optical tomography (DOT) is
the diffusion equation, which is derived from the radiative transfer equation by employing the …

We discuss the benefits, difficulties, and performance of a GPU implementation of the
Chambolle–Pock algorithm for TGV (total generalised variation) denoising of medical …

We propose an iterative data reconstruction technique specifically designed for multi-
dimensional multi-color fluorescence imaging. Markov random field is employed (for …

We have developed a graphics processor unit (GPU-) based high-speed fully 3D system for
diffuse optical tomography (DOT). The reduction in execution time of 3D DOT algorithm, a …