Adaptive view synthesis for aliasing artifact reduction

Jiang Hsieh; Christopher L. Slack; Sandeep Dutta; Clarence L. Gordon III; Jay Li; Edward Chao

doi:10.1117/12.430899

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28 June 2001 Adaptive view synthesis for aliasing artifact reduction

Jiang Hsieh; Christopher L. Slack; Sandeep Dutta; Clarence L. Gordon III; Jay Li; Edward Chao

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Proceedings Volume 4320, Medical Imaging 2001: Physics of Medical Imaging; (2001) https://doi.org/10.1117/12.430899
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

In recent years, the scan speed of computed tomography (CT) has increased significantly. Not long ago, the state-of-the- art CT was only capable of completing a single scan in 1.0 s per gantry rotation. Nowadays, 0.5 s per revolution is nearly an industry standard. Faster scan speeds demand faster sampling of the projections to combat aliasing artifacts, and higher x-ray tube output to ensure sufficient x-ray photon flux delivered to the scan. These demands often exceed the technological capability of these components. In this paper we performed a detailed analysis on the characteristics of the view aliasing artifact. Based on our analysis and clinical observations, we propose an adaptive view synthesis (AVS) scheme that effectively reduces the demands on the data acquisition system. Detailed performance comparison between the full view sampling and the adaptive view synthesis are performed through computer simulations and phantom experiments. Our analysis indicates that AVS is adequate for routine clinical applications.

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Jiang Hsieh, Christopher L. Slack, Sandeep Dutta, Clarence L. Gordon III, Jay Li, and Edward Chao "Adaptive view synthesis for aliasing artifact reduction", Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); https://doi.org/10.1117/12.430899

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