Impact of angular sampling interval on image reconstruction from limited-angular-range data

Zheng Zhang; Buxin Chen; Dan Xia; Emil Sidky; Xiaochuan Pan

doi:10.1117/12.2612960

4 April 2022 Impact of angular sampling interval on image reconstruction from limited-angular-range data

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, Xiaochuan Pan

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 1203138 (2022) https://doi.org/10.1117/12.2612960
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

In computed tomography (CT) imaging, recent developments in reconstruction algorithm and scan configuration design have provided useful tools for image reconstruction from data collected over a limited-angular range (LAR). In this work, we aim to investigate the impact of angular sampling interval on the accuracy of reconstruction from LAR data. In specific, we employ a two-orthogonal-arc scan configuration, and collect data from a numerical chest phantom over an LAR with various angular intervals. We then investigate image reconstruction by using the directional-total-variation (DTV) algorithm and evaluate reconstructions qualitatively and quantitatively. Results show that increased angular sampling interval can degrade image quality. Results of the simulation study also indicate an appropriate interval for sufficient reconstruction accuracy under specific imaging conditions, which provides insights for upper-bound performance of reconstructions in practical use.

Conference Presentation

Citation Download Citation

Zheng Zhang, Buxin Chen, Dan Xia, Emil Sidky, and Xiaochuan Pan "Impact of angular sampling interval on image reconstruction from limited-angular-range data", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203138 (4 April 2022); https://doi.org/10.1117/12.2612960

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