301 citations · 304 across the 22 of their papers we have counts for
24 papers
Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction
Haley Duba-Sullivan, Emma J. Reid, Charles A. Bouman +1
Iterative algorithms for inverse imaging problems split reconstruction into alternating subproblems, one of which requires evaluating the data-fitting proximal map. In many practic…
MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
Mohammad Samin Nur Chowdhury, Shimin Tang, Singanallur V. Venkatakrishnan +3
Residual strain, a tensor quantity, is a critical material property that impacts the overall performance of metal parts. Neutron Bragg edge strain tomography is a technique for ima…
Ptychography using Blind Multi-Mode PMACE
Qiuchen Zhai, Gregery T. Buzzard, Kevin Mertes +2
Ptychography is an imaging technique that enables nanometer-scale reconstruction of complex transmittance images by scanning objects with overlapping illumination patterns. However…
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…
Texture Matching GAN for CT Image Enhancement
Madhuri Nagare, Gregery T. Buzzard, Charles A. Bouman
Deep neural networks (DNN) are commonly used to denoise and sharpen X-ray computed tomography (CT) images with the goal of reducing patient X-ray dosage while maintaining reconstru…
Generative Plug and Play: Posterior Sampling for Inverse Problems
Charles A. Bouman, Gregery T. Buzzard
Over the past decade, Plug-and-Play (PnP) has become a popular method for reconstructing images using a modular framework consisting of a forward and prior model. The great strengt…
Dynamic DH-MBIR for Phase-Error Estimation from Streaming Digital-Holography Data
Ali G. Sheikh, Casey J. Pellizzari, Sherman J. Kisner +2
Directed energy applications require the estimation of digital-holographic (DH) phase errors due to atmospheric turbulence in order to accurately focus the outgoing beam. These pha…
Projected Multi-Agent Consensus Equilibrium (PMACE) with Application to Ptychography
Qiuchen Zhai, Gregery T. Buzzard, Kevin Mertes +2
Multi-Agent Consensus Equilibrium (MACE) formulates an inverse imaging problem as a balance among multiple update agents such as data-fitting terms and denoisers. However, each suc…
X-ray Spectral Estimation using Dictionary Learning
Wenrui Li, Venkatesh Sridhar, K. Aditya Mohan +5
As computational tools for X-ray computed tomography (CT) become more quantitatively accurate, knowledge of the source-detector spectral response is critical for quantitative syste…
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium
Abdulrahman M. Alanazi, Singanallur Venkatakrishnan, Gregery T. Buzzard +1
Non-destructive characterization of multi-layered structures that can be accessed from only a single side is important for applications such as well-bore integrity inspection. Exis…
Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography
Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang +4
Hyperspectral neutron tomography is an effective method for analyzing crystalline material samples with complex compositions in a non-destructive manner. Since the counts in the hy…
TRINIDI: Time-of-Flight Resonance Imaging with Neutrons for Isotopic Density Inference
Thilo Balke, Alexander M. Long, Sven C. Vogel +2
Accurate reconstruction of 2D and 3D isotope densities is a desired capability with great potential impact in applications such as evaluation and development of next-generation nuc…
An Edge Alignment-based Orientation Selection Method for Neutron Tomography
Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan +5
Neutron computed tomography (nCT) is a 3D characterization technique used to image the internal morphology or chemical composition of samples in biology and materials sciences. A t…
Model-based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems
Abdulrahman M. Alanazi, Singanallur Venkatakrishnan, Hector Santos-Villalobos +2
Collimated beam ultrasound systems are a technology for imaging inside multi-layered structures such as geothermal wells. These systems work by using a collimated narrow-band ultra…
Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
Diyu Yang, Craig A. J. Kemp, Gregery T. Buzzard +1
CT imaging works by reconstructing an object of interest from a collection of projections. Traditional methods such as filtered-back projection (FBP) work on projection images acqu…
Model-Based Reconstruction for Collimated Beam Ultrasound Systems
Abdulrahman Alanazi, Singanallur Venkatakrishnan, Hector Santos-Villalobos +2
Collimated beam ultrasound systems are a novel technology for imaging inside multi-layered structures such as geothermal wells. Such systems include a transmitter and multiple rece…
Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction
Qiuchen Zhai, Brendt Wohlberg, Gregery T. Buzzard +1
Ptychography is a computational imaging technique using multiple, overlapping, coherently illuminated snapshots to achieve nanometer resolution by solving a nonlinear phase-field r…
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg +3
Many material and biological samples in scientific imaging are characterized by non-local repeating structures. These are studied using scanning electron microscopy and electron to…