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Proceedings Paper

Effect of noise smoothing in 3-D surface display
Author(s): Keh-Shih Chuang; Bruce Kuo Ting Ho; Christine Wu; Doris T. Chin
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Paper Abstract

Images are subjects to various types of noises. Noise carries no useful information and deteriorates image quality. Most of the studies on noise are for projectional radiography; few are on the effect of 3-D images. In this paper we studied the effect of noise on the 3-D surface display and compared three techniques to smooth out noise. The three smoothing techniques used are averaging, median filter, and Butterworth filter. The performances of these techniques are compared. For averaging and median filter techniques, smoothing is performed on each slice of the 3-D data set. The Butterworth filter is performed on the 3-D cosine transform of the data. Then the 3-D surface is reconstructed from these smoothed data. It was found that all of the three techniques can smooth out the noise effectively. The effect of noise on the 3-D image is enhancement of the slicing artifacts. The 3-D Butterworth filter can eliminate the slicing artifacts. The blurring artifact which is prevalent in 2-D smoothing do not show up in the 3-D display.

Paper Details

Date Published: 1 July 1992
PDF: 6 pages
Proc. SPIE 1654, Medical Imaging VI: PACS Design and Evaluation, (1 July 1992); doi: 10.1117/12.60308
Show Author Affiliations
Keh-Shih Chuang, UCLA School of Medicine (United States)
Bruce Kuo Ting Ho, UCLA School of Medicine (United States)
Christine Wu, UCLA School of Medicine (United States)
Doris T. Chin, UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 1654:
Medical Imaging VI: PACS Design and Evaluation
R. Gilbert Jost, Editor(s)

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