301 citations · 326 across the 18 of their papers we have counts for
20 papers
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…
A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography
Aniket Pramanik, Obaidullah Rahman, Singanallur V. Venkatakrishnan +1
Cone-beam X-ray Computed Tomography (XCT) with large detectors and corresponding large-scale 3D reconstruction plays a pivotal role in micron-scale characterization of materials an…
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
Aniket Pramanik, Singanallur V. Venkatakrishnan, Obaidullah Rahman +1
Industrial X-ray cone-beam CT (XCT) scanners are widely used for scientific imaging and non-destructive characterization. Industrial CBCT scanners use large detectors containing mi…
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
Haley Duba-Sullivan, Obaidullah Rahman, Singanallur Venkatakrishnan +1
X-ray computed tomography (XCT) is a key tool in non-destructive evaluation of additively manufactured (AM) parts, allowing for internal inspection and defect detection. Despite it…
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…
Edge Projection-Based Adaptive View Selection for Cone-Beam CT
Jingsong Lin, Singanallur Venkatakrishnan, Gregery Buzzard +2
Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predet…
Deep learning based workflow for accelerated industrial X-ray Computed Tomography
Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime +5
X-ray computed tomography (XCT) is an important tool for high-resolution non-destructive characterization of additively-manufactured metal components. XCT reconstructions of metal…
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…
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…
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…
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches
S. V. Venkatakrishnan, K. Aditya Mohan, Amir Koushyar Ziabari +1
Multi-scale 3D characterization is widely used by materials scientists to further their understanding of the relationships between microscopic structure and macroscopic function. S…
Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles
Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Philip Bingham +1
Tri-Structural Isotropic (TRISO) fuel particles are a key component of next generation nuclear fuels. Using X-ray computed tomography (CT) to characterize TRISO particles is challe…
Convolutional Dictionary Regularizers for Tomographic Inversion
Singanallur Venkatakrishnan, Brendt Wohlberg
There has been a growing interest in the use of data-driven regularizers to solve inverse problems associated with computational imaging systems. The convolutional sparse represent…
Model-Based Iterative Reconstruction for One-Sided Ultrasonic Non-Destructive Evaluation
Hani Almansouri, Singanallur Venkatakrishnan, Charles Bouman +1
One-sided ultrasonic non-destructive evaluation (UNDE) is extensively used to characterize structures that need to be inspected and maintained from defects and flaws that could aff…
Deep neural networks for non-linear model-based ultrasound reconstruction
Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard +2
Ultrasound reflection tomography is widely used to image large complex specimens that are only accessible from a single side, such as well systems and nuclear power plant containme…
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy
Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman +3
Perhaps surprisingly, the total electron microscopy (EM) data collected to date is less than a cubic millimeter. Consequently, there is an enormous demand in the materials and biol…
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…