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On Few-View Tomography and Staircase Artifacts.

Gengsheng L Zeng¹

¹Department of Engineering, Weber State University, Ogden, UT 84408 USA, and also with the Department of Radiology, University of Utah, Salt Lake City, UT 84132 USA.

IEEE Transactions on Nuclear Science

|September 26, 2017

Summary

This study explores few-view tomography methods, addressing staircase artifacts and evaluating edge-preserving filters. Results show the bilateral method outperforms TV methods for image reconstruction.

Keywords:

Artifacts edge-preserving filters image reconstruction iterative algorithm tomography

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Area of Science:

Medical Imaging
Computational Science

Background:

Few-view tomography presents challenges in image reconstruction.
Staircase artifacts degrade image quality in tomographic reconstructions.

Purpose of the Study:

Investigate methods for few-view tomography.
Analyze causes and solutions for staircase artifacts.
Evaluate the utility of edge-preserving filters in emission tomography.

Main Methods:

Formulated a general Green's one-step-late algorithm for incorporating linear and non-linear filters.
Explored artificial creation of penalty function derivatives.
Gained insights into constrained image reconstruction with edge-preserving constraints.

Main Results:

The bilateral method demonstrated superior performance compared to the Total Variation (TV) method.
Higher-order methods may not be essential for non-piecewise-constant objects.
Identified insights into the cause and remedy of staircase artifacts.

Conclusions:

Edge-preserving filters offer benefits in emission tomography.
The bilateral method is a promising approach for few-view tomography.
Constrained reconstruction techniques enhance image quality.