7 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…
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…
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…
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…
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…