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Licensed Unlicensed Requires Authentication Published by De Gruyter September 6, 2019

Automatic analysis of image quality by ETR-1 for the On-Board Imager

  • Shamim Ahmed EMAIL logo , Marian Krüger , Christian Willomitzer and Golam Abu Zakaria

Abstract

The test-plate image of an image quality test tool is processed. The processing is based on quality assurance with the well-established test device ETR-1. A program is developed to analyze the parameters such as contrast, low contrast and resolution automatically. This results in more accurate patient positioning for the On-Board Imager (OBI) system. The contrast and resolution are measured by means of Bresenham’s line algorithm. The low contrast is calculated with the help of binary masking. The modulation transfer function (MTF) is also observed for the system. The developed program imports the Digital Imaging and Communications in Medicine (DICOM) image and returns the image parameters. The program can process the ideal image or the less noisy image. The no-rotation-mode or the slight-rotation-mode of the test-plate can be analyzed.

Acknowledgement

The authors heartily appreciate Ostprignitz-Ruppiner Gesundheitsdienste GmbH for the instrumentation support.

  1. Author statement

  2. Research funding: Authors state no funding involved.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Informed consent: Informed consent is not applicable.

  5. Ethical approval: The conducted research is not related to either human or animals use.

References

[1] Ahmed S. Objective image analysis of ETR-1 for On-Board Imager. Master thesis, Martin-Luther-University, Halle, 2018.Search in Google Scholar

[2] Canny JF. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 1986;8:679–98.10.1016/B978-0-08-051581-6.50024-6Search in Google Scholar PubMed

[3] Duda OR, Hart PE. Use of the Hough transformation to detect lines and curves in pictures. Commun ACM 1972;15:11–5.10.1145/361237.361242Search in Google Scholar

[4] Davies ER. A modified Hough scheme for general circle location. Pattern Recogn Lett 1987;7:37–43.10.1016/0167-8655(88)90042-6Search in Google Scholar

[5] Bresenham JE. Algorithm for computer control of a digital plotter. IBM Syst J 1965;4:25–30.10.1147/sj.41.0025Search in Google Scholar

[6] Ahmed S, Krüger M, Willomitzer C, Zakaria GA. Numerical evaluation of image parameters of ETR-1. Curr Direct Biomed Eng 2016;2:489–91.10.1515/cdbme-2016-0108Search in Google Scholar

Received: 2018-05-27
Accepted: 2019-03-04
Published Online: 2019-09-06
Published in Print: 2020-01-28

©2020 Walter de Gruyter GmbH, Berlin/Boston

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