Iterative Image Reconstruction Using Non-Local Means With Total Variation From Insufficient Projection Data
Iterative Image Reconstruction Using Non-Local Means With Total Variation From Insufficient Projection Data
Abstract
In this work, algebraic reconstruction technique (ART) is extended by using non-local means (NLM) and total variation (TV) for reduction of artifacts that are due to insufficient projection data. TV and NLM algorithms use different image models and their application in tandem becomes a powerful denoising method that reduces erroneous variations in the image while preserving edges and details. Simulations were performed on a widely used 2D Shepp-Logan phantom to demonstrate performance of the introduced method (ART + TV) NLM and compare it to TV based ART (ART + TV) and ART. The results indicate that (ART + TV) NLM achieves better reconstructions compared to (ART + TV) and ART.
Description
Akan, Aydin/0000-0001-8894-5794;
ORCID
Keywords
Limited-Angle, Tomography, Total Variation, Non-Local Means, Insufficient Projection, Phantoms, Imaging, Image Processing, Computer-Assisted, Humans, Artifacts, Tomography, X-Ray Computed, Models, Biological, Algorithms
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
15
Volume
24
Issue
1
Start Page
1
End Page
8