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Proceedings Paper

Reduction of irregular view-sampling artifacts in a stationary gantry CT scanner
Author(s): Alexander Katsevich; Seongjin Yoon; Michael Frenkel; Ed Morton; William Thompson
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Paper 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.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110720G (28 May 2019); doi: 10.1117/12.2534878
Show Author Affiliations
Alexander Katsevich, iTomography Corp. (United States)
Univ. of Central Florida (United States)
Seongjin Yoon, iTomography Corp. (United States)
Michael Frenkel, iTomography Corp. (United States)
Ed Morton, Rapiscan Systems (United States)
William Thompson, Rapiscan Systems (United States)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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