Physica Medica: European Journal of Medical Physics
Volume 26, Issue 3 , Pages 157-165 , July 2010

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

  • Kuniharu Imai

      Affiliations

    • Department of Radiological Technology, Nagoya University School of Health Sciences, 1-20 Daikominami 1-chome, Higashi-ku, Nagoya, 461-8673, Japan
    • Corresponding Author InformationCorresponding author. Tel.: +81 52 719 3114; fax: +81 52 719 1587.
  • ,
  • Mitsuru Ikeda

      Affiliations

    • Department of Radiological Technology, Nagoya University School of Health Sciences, 1-20 Daikominami 1-chome, Higashi-ku, Nagoya, 461-8673, Japan
    • Tel.: +81 52 719 1587; fax: +81 52 719 1587.
  • ,
  • Yukihiro Enchi

      Affiliations

    • Department of Radiology, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka, 565-0871, Japan
    • Tel.: +81 6 6879 6812; fax: +81 6 6879 6814.
  • ,
  • Takanaga Niimi

      Affiliations

    • Department of Radiological Technology, Nagoya University School of Health Sciences, 1-20 Daikominami 1-chome, Higashi-ku, Nagoya, 461-8673, Japan
    • Tel.: +81 52 719 3114; fax: +81 52 719 1587.

Received 17 June 2009 ,Revised 13 November 2009 ,Accepted 20 November 2009.

References 

  1. Becker CR, Ohnesorge BM, Schoepf UJ, Reiser MF. Current development of cardiac imaging with multidetector-row CT. Eur J Radiol. 2000;36:97–103
  2. Schertler T, Wildermuth S, Alkadhi H, Kruppa M, Marincek B, Boehm T. Sixteen-detector row CT angiography for lower-leg arterial occlusive disease: analysis of section width. Radiology. 2005;237:649–656
  3. Wormanns D, Fiebich M, Said M, Diederich S, Heinde W. Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. Eur Radiol. 2002;12:1052–1057
  4. McCulloch CC, Kaucic RA, Mendonça PR, Walter DJ, Avila RS. Model-based detection of ling nodules in computed tomography exams. Acad Radiol. 2004;11:258–266
  5. Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, et al. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol. 2004;11:617–629
  6. Armato SG, Roy AS, MacMahon H, Li F, Doi K, Sone S, et al. Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program. Acad Radiol. 2005;12:337–346
  7. Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, et al. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005;237:684–690
  8. Ishida M, Doi K, Loo LN, Metz CE, Lehr JL. Digital image processing: effect on detectability of simulated low-contrast radiographic patterns. Radiology. 1984;150:569–575
  9. Ohara K, Chan HP, Doi K, Giger ML, Fujita H. Investigation of basic imaging properties in digital radiography. 8. Detection of simulated low-contrast objects in digital subtraction angiographic images. Med Phys. 1986;13:304–311
  10. Barrett FF, Keat N. Artifact in CT: recognition and avoidance. Radiographics. 2004;24:1697–91
  11. Hsieh J. Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise. Med Phys. 1998;25:2139–2147
  12. Imai K, Ikeda M, Wada S, Enchi Y, Niimi T. Analysis of streak artefacts on CT images using statistics of extremes. Br J Radiol. 2007;80:911–918
  13. Imai K, Ikeda M, Enchi Y, Niimi T. Statistical characteristics of streak artifacts on CT images: relationship between streak artifacts and mAs-values. Med Phys. 2009;36:492–499
  14. Boiselle PM, HasegawaI Nishino M, Raptopoulos V, Hatabu H. Comparison of artifacts on coronal reformation and axial CT pulmonary angiography images using single-detector and 4- and 8-detector multidetector-row helical CT scanners. Acad Radiol. 2005;12:602–607
  15. Lucaya J, Piqueras J, Pena PG, Enriquez G, Garcia-Macias M, Sotil J. Low-dose high-resolution ct of the chest in children and young adults: dose, cooperation, artifact incidence, and image quality. Am J Roentgenol. 2000;175:985–992
  16. Alberico RA, Loud P, Pollina J, Greco W, Patel M, Klufas R. Thick-section reformatting of thinly collimated helical CT for reduction of skull bases-related artifacts. Am J Roentgenol. 2000;175:1361–1366
  17. Wong K, Paulson EK, Nelson RC. Breath-hold three dimensional CT of the liver with multi-detector row helical CT. Radiology. 2001;219:75–79
  18. Montaudon M, Berger P, Blachère H, De Boucaud L, Latrabe V, Laurent F. Thin-section CT of the lung: influence of 0.5-s gantry rotation and ECG triggering on image quality. Eur Radiol. 2001;11:1681–1687
  19. Joseph PM, Hilal SK, Schulz RA, Kelcz F. Clinical and experimental investigation of a smoothed ct reconstruction algorithm. Radiology. 1980;34:507–516
  20. Gumbel EJ. Statistics of extremes. New York: Columbia University Press; 1958;

PII: S1120-1797(09)00068-4

doi: 10.1016/j.ejmp.2009.11.003

Physica Medica: European Journal of Medical Physics
Volume 26, Issue 3 , Pages 157-165 , July 2010