most citedA Preconditioned Algorithm for Model-Based Iterative CT Reconstruction and Material Decomposition from Spectral CT Data

6 citations · 6 across the 1 of their papers we have counts for

collaborators

5 papers

physics.med-ph2020

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…

physics.med-ph2020

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…

physics.med-ph2020

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…

physics.med-ph2020

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…

physics.med-ph20206 cited

A Preconditioned Algorithm for Model-Based Iterative CT Reconstruction and Material Decomposition from Spectral CT Data

Matthew Tivnan, Wenying Wang, J. Webster Stayman

Model-based material decomposition is a statisticaliterative reconstruction framework where basis material densityimages are estimated directly from spectral CT data. This methodus…