Reduction of irregular view-sampling artifacts in a stationary gantry CT scanner

Alexander Katsevich; Seongjin Yoon; Michael Frenkel; Ed Morton; William Thompson

doi:10.1117/12.2534878

28 May 2019 Reduction of irregular view-sampling artifacts in a stationary gantry CT scanner

Alexander Katsevich, Seongjin Yoon, Michael Frenkel, Ed Morton, William Thompson

Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110720G (2019) https://doi.org/10.1117/12.2534878
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

Abstract

We propose an FBP reconstruction algorithm for a stationary gantry CT scanner with distributed sources. The sources are fired in quasi-random order to improve data completeness across the field of view (FOV). The downsides of that are two-fold. The neighboring sources are fired non-sequentially, so the view derivative should be avoided. Second, the angular distribution of rays through each voxel is non-uniform and varies across the FOV. To overcome these challenges we incorporate a weight function into an FDK-type reconstruction algorithm, and integrate by parts to avoid view differentiation. Results of experiments with simulated data confirm that a properly selected weight significantly reduces irregular view sampling streaks.

Citation Download Citation

Alexander Katsevich, Seongjin Yoon, Michael Frenkel, Ed Morton, and William Thompson "Reduction of irregular view-sampling artifacts in a stationary gantry CT scanner", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110720G (28 May 2019); https://doi.org/10.1117/12.2534878

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