36 citations · 53 across the 5 of their papers we have counts for
10 papers
High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies
Matthew Tivnan, Grace Gang, Wenchao Cao +3
Spectral CT offers enhanced material discrimination over single-energy systems and enables quantitative estimation of basis material density images. Water/iodine decomposition in c…
Manifold Reconstruction of Differences: A Model-Based Iterative Statistical Estimation Algorithm with a Data-Driven Prior
Matthew Tivnan, J. Webster Stayman
Manifold learning using deep neural networks been shown to be an effective tool for building sophisticated prior image models that can be applied to noise reduction in low-dose CT.…
Multi-Contrast CT Imaging with a Prototype Spatial-Spectral Filter
Matthew Tivnan, Wenying Wang, J. Webster Stayman
Spectral CT has great potential for a variety of clinical applications due to the improved material discrimination with respect to conventional CT. Many clinical and preclinical sp…
Combining Spectral CT Acquisition Methods for High-Sensitivity Material Decomposition
Matthew Tivnan, Wenying Wang, Grace Gang +3
Quantitative estimation of contrast agent concentration is made possible by spectral CT and material decomposition. There are several approaches to modulate the sensitivity of the…
Optimized Spatial-Spectral CT for Multi-Material Decomposition
Matthew Tivnan, Wenying Wang, Steven Tilley +2
Spectral CT is an emerging modality that uses a data acquisition scheme with varied spectral responses to provide enhanced material discrimination in addition to the structural inf…
Design of Spatial-Spectral Filters for CT Material Decomposition
Matthew Tivnan, Wenying Wang, Grace Gang +1
Spectral CT has shown promise for high-sensitivity quantitative imaging and material decomposition. This work presents a new device called a spatial-spectral filter (SSF) which con…