A detection method for streak artifacts and radiological noise in a non-uniform region in a CT image.

Phys Med

Department of Radiological Technology, Nagoya University School of Health Sciences, 1-20 Daikominami 1-chome, Higashi-ku, Nagoya, 461-8673, Japan.

Published: October 2010

AI Article Synopsis

  • - The study presents a new method for identifying streak artifacts and radiological noise in CT images by comparing two CT scans taken under similar conditions and locations.
  • - Researchers used a chest phantom and scanned it using two different types of CT scanners, analyzing the upper lung slices to evaluate image quality.
  • - They employed extreme value theory and statistical analysis on specific line segments of the images, demonstrating that their methods effectively detected artifacts and noise with high accuracy.

Article Abstract

By using the CT images obtained by subtracting two CT images acquired under the same conditions and slice locations, we have devised a method for detecting streak artifacts in non-uniform regions and only radiological noise components in CT images. A chest phantom was scanned using 16- and 64-multidetector row helical CT scanners with various mAs values at 120kVp. The upper lung slice image was employed as a target image for evaluating the streak artifacts and radiological noise. One hundred parallel line segments with a length of 80 pixels were placed on the subtracted CT image, and the largest CT value in each CT value profile was employed as a feature variable of the streak artifacts; these feature variables were analyzed with the extreme value theory (Gumbel distribution). To detect only the radiological noise, all CT values contained in the 100 line profile were plotted on normal probability paper and the standard deviation was estimated from the inclination of its fitted line for the CT value plots. The two detection methods devised in this study were able to evaluate the streak artifacts and radiological noise in the CT images with high accuracy.

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http://dx.doi.org/10.1016/j.ejmp.2009.11.003DOI Listing

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