Paper
15 November 1978 Non-Linear Smoothing Filters And Noise Structure In Computed Tomography (CT) Scanning: A Preliminary Report
A. J. Duerinckx, L. M Zatz, A. Macovski
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Abstract
Preliminary results have been obtained with a non-linear filter system for projection data in computed tomography imaging. The non-linear filter system consists of a sequence of three filters: a non-linear median smoother, a linear smoother and a non-linear correction filter. The non-linear correction filter is a modified Kalman filter. Both patient data and simulated phantom data have been used in evaluating and designing the non-linear filter system. There are six parameters to be adjusted to the type of projection data considered. Additional work is required to optimize the filter system. Our preliminary results show a significant improvement in image resolution for a noise reduction comparable to what is obtained with conventional linear filtering techniques. However, this is at the cost of enhancing the streak artifacts.
© (1978) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. J. Duerinckx, L. M Zatz, and A. Macovski "Non-Linear Smoothing Filters And Noise Structure In Computed Tomography (CT) Scanning: A Preliminary Report", Proc. SPIE 0152, Recent and Future Developments in Medical Imaging I, (15 November 1978); https://doi.org/10.1117/12.938189
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Cited by 1 scholarly publication.
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KEYWORDS
Nonlinear filtering

Linear filtering

Digital filtering

Filtering (signal processing)

Computed tomography

Image filtering

Electronic filtering

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