Recent advances in diffusion magnetic resonance image (dMRI) modeling have led to the
development of several state of the art methods for reconstructing the diffusion signal. These …

This book is primarily aimed at students, researchers, and practitioners who are interested in
the computational aspects of X-ray computed tomography (CT). It is also relevant for those …

In this study, ex-situ experiments performed with a point injection device are conducted to
evaluate water distributions in gas diffusion layer (GDL) materials which serve as porous …

In many applications of computed tomography, it may not be possible to acquire projection
data at all angles, as required by the most commonly used algorithm of convolution …

In this paper, we discuss a deterministic regularization algorithm to handle the missing cone
problem of three-dimensional optical diffraction tomography (ODT). The missing cone …

In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be
restricted to a limited angular range to avoid collision with other system parts or high …

We present a deep-learning-based algorithm to jointly solve a reconstruction problem and a
wavefront set extraction problem in tomographic imaging. The algorithm is based on a …

In this book series on Optical Sciences, holography has been the subject of three previous
volumes. In particular, Vol. 16, written by one of us (WS) and Dr. M. Dubas, treated …

We present a 3D tomography technique for in vivo observation of microscopic samples. The
method combines flow in a microfluidic channel, illumination through a slit aperture, and a …

Image reconstruction from insufficient data is common in computed tomography (CT), eg,
image reconstruction from truncated data, limited-angle data and sparse-view data. Deep …