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British Journal of Radiology (2007) 80, 911-918
© 2007 British Institute of Radiology
doi: 10.1259/bjr/93741044

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Analysis of streak artefacts on CT images using statistics of extremes

K Imai, PhD 1 M Ikeda, MD 1 S Wada, PhD 2 Y Enchi, MSc 3 and T Niimi, BSc 1

1 Department of Radiological Technology, Nagoya University School of Health Sciences, 1-20 Daikominami 1-chome, Higashi-ku, Nagoya 461-8673, 2 Division of Radiological Technology, Niigata University School of Health Sciences, 746 Asahimachi-dori 2-bancho, Niigata 951-8518, 3 Division of Radiological Technology, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka 565-0971, Japan


Figure 1
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Figure 1. (a) CT image of the upper zone of a chest phantom and four polymer tubes filled with water placed on the chest wall. The images of polymer tubes I, II, III and IV were used as target objects to evaluate streak artefacts. (b) Magnified image of polymer tube I, which was reconstructed by the FC01 reconstruction kernel. (c) Magnified image of polymer tube I, which was reconstructed by the FC50 reconstruction kernel. (d) Magnified image of polymer tube I, as reconstructed by the FC52 reconstruction kernel. Streak artefacts increased in order of FC01<FC50<FC52.

 

Figure 2
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Figure 2. Plot of estimated cumulative probability function versus the largest difference between adjacent CT values for data given inTable 1Go. (a) Gumbel plot. Straight line represents line fitted to data (r = 0.992). (b) Frechet plot. Curved line represents quadratic polynomial fitted to data (r = 0.992). Broken straight line represents linear polynomial fitted to data (r = 0.975). (c) Weibull plot. Curved line represents quadratic polynomial fitted to data (r = 0.991). Broken straight line represents linear polynomial fitted to data (r = 0.966).

 

Figure 3
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Figure 3. Gumbel plot of estimated cumulative probability function versus largest difference between adjacent CT values for data on images of polymer tubes I, II, III and IV shown inFigure 1aGo. Images were reconstructed using the FC52 reconstruction kernel.

 

Figure 4
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Figure 4. Gumbel plots of estimated cumulative probability function versus largest difference between adjacent CT values for data on images of polymer tubes I and IV inFigure 1aGo, as reconstructed by reconstruction kernels FC01, FC50 and FC52. White circles represent data on polymer tube I, reconstructed by the FC52 reconstruction kernel; black circles on polymer tube IV reconstructed by FC52; white squares on polymer tube I reconstructed by FC50; black squares on polymer tube IV reconstructed by FC50; white triangles on polymer tube I reconstructed by FC01; and black triangles on polymer tube IV reconstructed by FC01.

 

Figure 5
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Figure 5. Gumbel probability density distributions estimated from Gumbel plots shown inFigure 4Go. These distributions are for data on polymer tube I and IV images, as reconstructed by kernels FC01, FC50 and FC52. The solid line represents the Gumbel probability density distribution obtained from data on the polymer tube I image, and the broken line from data on the polymer tube IV image.

 

Figure 6
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Figure 6. (a) Relationship of the location parameter of the Gumbel probability density distribution estimated for the largest difference between adjacent CT values in each CT value profile and CT slice position. (b) Relationship between the scale parameter of the Gumbel distribution and CT slice position. Here, distance is from the top of the lung field in the chest phantom.

 

Figure 7
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Figure 7. (a) Magnified image of polymer tube I at a distance of 40 mm in Figure 6Go; the polymer tube was in the shoulder bone area. (b) Magnified image of polymer tube I at a distance of 150 mm in Figure 6Go; the polymer tube was in the lung area. (c) Magnified image of polymer tube I at a distance of 280 mm in Figure 6Go. The streak artefacts increased in the order of (b)<(a)<(c).

 





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