Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Lionheart, William"'
Autor:
Wensrich, Chris, Holman, Sean, Lionheart, William, Courdurier, Matias, Polyakova, Anna, Svetov, Ivan, Doubikin, Ty
We develop an algorithm for reconstruction of elastic strain fields from their Longitudinal Ray Transform (LRT) in either two or three dimensions. In general, the LRT only determines the solenoidal part of a symmetric tensor field, but elastic strain
Externí odkaz:
http://arxiv.org/abs/2408.10250
Through-wall synthetic aperture radar (SAR) imaging is of significant interest for security purposes, in particular when using multi-static SAR systems consisting of multiple distributed radar transmitters and receivers to improve resolution and the
Externí odkaz:
http://arxiv.org/abs/2403.10354
Autor:
Fogarty, Kyle, Ametova, Evelina, Burca, Genoveva, Korsunsky, Alexander M., Schmidt, Søren, Withers, Philip J., Lionheart, William R. B.
Point by point strain scanning is often used to map the residual stress (strain) in engineering materials and components. However, the gauge volume and hence spatial resolution is limited by the beam defining apertures and can be anisotropic for very
Externí odkaz:
http://arxiv.org/abs/2201.09669
Autor:
Ametova, Evelina, Burca, Genoveva, Chilingaryan, Suren, Fardell, Gemma, Jørgensen, Jakob S., Papoutsellis, Evangelos, Pasca, Edoardo, Warr, Ryan, Turner, Martin, Lionheart, William R. B., Withers, Philip J.
Time-of-flight neutron imaging offers complementary attenuation contrast to X-ray computed tomography (CT), coupled with the ability to extract additional information from the variation in attenuation as a function of neutron energy (time of flight)
Externí odkaz:
http://arxiv.org/abs/2102.06706
Autor:
Papoutsellis, Evangelos, Ametova, Evelina, Delplancke, Claire, Fardell, Gemma, Jørgensen, Jakob S., Pasca, Edoardo, Turner, Martin, Warr, Ryan, Lionheart, William R. B., Withers, Philip J.
The newly developed Core Imaging Library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building blocks for tailored regularised reconstruction algorithms and explicit
Externí odkaz:
http://arxiv.org/abs/2102.06126
Autor:
Jørgensen, Jakob S., Ametova, Evelina, Burca, Genoveva, Fardell, Gemma, Papoutsellis, Evangelos, Pasca, Edoardo, Thielemans, Kris, Turner, Martin, Warr, Ryan, Lionheart, William R. B., Withers, Philip J.
We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional filtered back-projection reconstruction tends to be insufficient for h
Externí odkaz:
http://arxiv.org/abs/2102.04560
Autor:
Tovey, Robert, Johnstone, Duncan N., Collins, Sean M., Lionheart, William R. B., Midgley, Paul A., Benning, Martin, Schönlieb, Carola-Bibiane
Strain engineering is used to obtain desirable materials properties in a range of modern technologies. Direct nanoscale measurement of the three-dimensional strain tensor field within these materials has however been limited by a lack of suitable exp
Externí odkaz:
http://arxiv.org/abs/2008.03281
We study the inverse problem in Optical Tomography of determining the optical properties of a medium $\Omega\subset\mathbb{R}^n$, with $n\geq 3$, under the so-called diffusion approximation. We consider the time-harmonic case where $\Omega$ is probed
Externí odkaz:
http://arxiv.org/abs/2002.01828
Publikováno v:
Inverse Problems 2019
We consider the problem of determination of a magnetic field from three dimensional polarimetric neutron tomography data. We see that this is an example of a non-Abelian ray transform and that the problem has a globally unique solution for smooth mag
Externí odkaz:
http://arxiv.org/abs/1903.10884
Autor:
Lionheart, William R. B.
Publikováno v:
Mathematics in Engineering, 2020, 2(1): 55-74
In many tomographic imaging problems the data consist of integrals along lines or curves. Increasingly we encounter "rich tomography" problems where the quantity imaged is higher dimensional than a scalar per voxel, including vectors tensors and func
Externí odkaz:
http://arxiv.org/abs/1809.10446