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

Physica Medica

Volumn 26, Issue 3, 2010, Pages 157-165

  Imai, Kuniharu ^a   Ikeda, Mitsuru ^a   Enchi, Yukihiro ^b   Niimi, Takanaga ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b OSAKA UNIVERSITY HOSPITAL   (Japan)

Author keywords

Gauss distribution; Gumbel distribution; Radiological noise; Streak artifact

Indexed keywords

ACCURACY; ARTICLE; ARTIFACT; COMPUTER AIDED DESIGN; COMPUTER ASSISTED DIAGNOSIS; CORRELATION COEFFICIENT; DOSIMETRY; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; MULTIDETECTOR COMPUTED TOMOGRAPHY; NOISE; PHANTOM; PROBABILITY; QUANTUM MECHANICS; BIOLOGICAL MODEL; COMPUTER ASSISTED TOMOGRAPHY; DEVICES; HUMAN; LUNG; NORMAL DISTRIBUTION; PROCEDURES; RADIOGRAPHY; THORAX RADIOGRAPHY;

ARTIFACTS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; MODELS, BIOLOGICAL; NORMAL DISTRIBUTION; PHANTOMS, IMAGING; PROBABILITY; RADIOGRAPHY, THORACIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77953914444     PISSN: 11201797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejmp.2009.11.003     Document Type: Article

References (20)

1. Becker C.R., Ohnesorge B.M., Schoepf U.J., Reiser M.F. 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 C.C., Kaucic R.A., Mendonça P.R., Walter D.J., Avila R.S. 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 S.G., Roy A.S., 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 L.N., Metz C.E., Lehr J.L. Digital image processing: effect on detectability of simulated low-contrast radiographic patterns. Radiology 1984, 150:569-575.
9. Ohara K., Chan H.P., Doi K., Giger M.L., 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 F.F., 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 P.M., 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 P.G., 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 R.A., 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 E.K., Nelson R.C. 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 P.M., Hilal S.K., Schulz R.A., Kelcz F. Clinical and experimental investigation of a smoothed ct reconstruction algorithm. Radiology 1980, 34:507-516.
20. Gumbel E.J. Statistics of extremes 1958, Columbia University Press, New York.