Deep learning based workflow for accelerated industrial X-ray Computed Tomography

no code implementations • 24 Sep 2023 • Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent Paquit, Amirkoushyar Ziabari

Furthermore, traditional workflows based on using analytic reconstruction algorithms require a large number of projections for accurate characterization - leading to longer measurement times and hindering the adoption of XCT for in-line inspections.

3D Reconstruction

Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography

no code implementations • 27 Feb 2023 • Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman

The algorithm estimates the linear attenuation coefficient spectra from the measured radiographs and then uses these spectra to perform polycrystalline material decomposition and reconstructs 3D material volumes to localize materials in the spatial domain.

An Edge Alignment-based Orientation Selection Method for Neutron Tomography

no code implementations • 1 Dec 2022 • Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Mohammad S. N. Chowdhury, Yuxuan Zhang, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman

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.

Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles

no code implementations • 19 Mar 2021 • Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Philip Bingham, Grant Helmreich

Tri-Structural Isotropic (TRISO) fuel particles are a key component of next generation nuclear fuels.

Computed Tomography (CT) Image Reconstruction