537 citations · 698 across the 7 of their papers we have counts for
7 papers
Dark-field and directional dark-field on low coherence X-ray sources with random mask modulations: validation with SAXS anisotropy measurements
Clara Magnin, Laurene Quenot, Sylvain Bohic +5
Phase Contrast Imaging (PCI), Dark-Field (DF) and Directional Dark-Field (DDF) imaging are recent X-ray imaging modalities that have demonstrated their interest by providing access…
Directional dark-field implicit x-ray speckle tracking using an anisotropic-diffusion Fokker-Planck equation
Konstantin M. Pavlov, David M. Paganin, Kaye S. Morgan +5
When a macroscopic-sized non-crystalline sample is illuminated using coherent x-ray radiation, a bifurcation of photon energy flow may occur. The coarse-grained complex refractive…
X-ray Multimodal Intrinsic-Speckle-Tracking
Konstantin M. Pavlov, David M. Paganin, Heyang Li +3
We develop X-ray Multi-modal Intrinsic-Speckle-Tracking (MIST), a form of X-ray speckle-tracking that is able to recover both the position-dependent phase shift and the position-de…
Single-shot x-ray speckle-based imaging of a single-material object
Konstantin M. Pavlov, Heyang, Li +4
We develop a means for speckle-based phase imaging of the projected thickness of a single-material object, under the assumption of illumination by spatially random time-independent…
Single-Image Geometric-Flow X-Ray Speckle Tracking
David M. Paganin, Helene Labriet, Emmanuel Brun +1
We develop a speckle-tracking method for x-ray phase-contrast imaging, based on the concept of geometric flow. This flow is a conserved current associated with deformation of illum…
PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
Alessandro Mirone, Emmanuelle Gouillart, Emmanuel Brun +2
We present the PyHST2 code which is in service at ESRF for phase-contrast and absorption tomography. This code has been engineered to sustain the high data flow typical of the thir…
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography
Alessandro Mirone, Emmanuel Brun, Paola Coan
We solve the image denoising problem with a dictionary learning technique by writing a convex functional of a new form. This functional contains beside the usual sparsity inducing…