Non-linear partial volume artifact reduction in spectral CT `one step' direct inversion reconstruction

2021 ◽  
Author(s):  
Benjamin M. Rizzo ◽  
Emil Y. Sidky ◽  
Taly Gilat Schmidt
Keyword(s):  
Artifact Reduction ◽  
Spectral Ct ◽  
Partial Volume ◽  
Direct Inversion ◽  
Non Linear ◽  
One Step

Optimization-based reconstruction for correcting non-linear partial volume artifacts in CT

2019 ◽  
Author(s):  
Xiaochuan Pan ◽  
Emil Y. Sidky ◽  
Dan Xia ◽  
Zheng Zhang ◽  
Xin Liu ◽  
...  
Keyword(s):  
Partial Volume ◽  
Non Linear

scholarly journals A Novel Image Highly Compression Technique With Spread Parameter

2013 ◽  
pp. 196-199
Author(s):  
E. Wilvathi ◽  
M. KOTESWARA RAO
Keyword(s):  
Artifact Reduction ◽  
Fuzzy Filter ◽  
Linear Filtering ◽  
Linear Filters ◽  
Compression Technique ◽  
Jpeg Images ◽  
Compressed Images ◽  
Non Linear ◽  
Edge Based ◽  
Filtering Techniques

A novel image highly compressed technique has been introduced to reduce the artifacts in compressed JPEG images. In order to reduce the noise, non-linear filtering techniques are often employed than linear filters and don’t degrade the edges. A new metric has been introduced to reduce the artifacts occurred in colored images along the sharp transitions using directional spread parameter. Simulations on compressed images show improvement in artifact reduction by using edge based directional fuzzy filter when compared to the non-linear filters.

An efficient one-step method for spectral CT based on an approximate linear model

2021 ◽  
pp. 1-1
Author(s):  
Frederic Jolivet ◽  
Jerome Lesaint ◽  
Clarisse Fournier ◽  
Michel Garcin ◽  
Andrea Brambilla
Keyword(s):  
Linear Model ◽  
Spectral Ct ◽  
Step Method ◽  
One Step
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