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Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +5
Hyperspectral neutron computed tomography enables 3D non-destructive imaging of the spectral characteristics of materials. In traditional hyperspectral reconstruction, the data for…
Fast Hyperspectral Neutron Tomography
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +4
Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. I…
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
Haley Duba-Sullivan, Emma J. Reid, Sophie Voisin +2
Multispectral imaging (MSI) plays a critical role in material classification, environmental monitoring, and remote sensing. However, MSI sensors typically have wavelength-dependent…
Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects
Maliha Hossain, Charles A. Bouman, Brendt Wohlberg
Flash X-ray computed tomography (CT) is an important imaging modality for characterization of high-speed dynamic events, such as Kolsky bar impact experiments for the study of mech…
Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
Diyu Yang, Craig A. J. Kemp, Soumendu Majee +2
X-ray computed tomography (CT) reconstructs the internal morphology of a three dimensional object from a collection of projection images, most commonly using a single rotation axis…
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging
Tony G. Allen, David J. Rabb, Gregery T. Buzzard +1
Coherent lidar uses a chirped laser pulse for 3D imaging of distant targets. However, existing coherent lidar image reconstruction methods do not account for the system's aperture,…
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
Natalie M. Jadue, Madhuri Nagare, Jonathan S. Maltz +2
X-ray computed tomography (CT) based on photon counting detectors (PCD) extends standard CT by counting detected photons in multiple energy bins. PCD data can be used to increase t…