1 citations · 1 across the 5 of their papers we have counts for
5 papers
Direct Iterative Reconstruction of Multiple Basis Material Images in Photon-counting Spectral CT
Obaidullah Rahman, Ken Sauer, Connor Evans +1
In this work, we perform direct material reconstruction from spectral CT data using a model based iterative reconstruction (MBIR) approach. Material concentrations are measured in…
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…
Design of Novel Loss Functions for Deep Learning in X-ray CT
Obaidullah Rahman, Ken D. Sauer, Madhuri Nagare +4
Deep learning (DL) shows promise of advantages over conventional signal processing techniques in a variety of imaging applications. The networks' being trained from examples of dat…
Statistically Adaptive Filtering for Low Signal Correction in X-ray Computed Tomography
Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman +2
Low x-ray dose is desirable in x-ray computed tomographic (CT) imaging due to health concerns. But low dose comes with a cost of low signal artifacts such as streaks and low freque…
MBIR Training for a 2.5D DL network in X-ray CT
Obaidullah Rahman, Madhuri Nagare, Ken D. Sauer +4
In computed tomographic imaging, model based iterative reconstruction methods have generally shown better image quality than the more traditional, faster filtered backprojection te…