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Computer-Aided Detection for Ultra-Low-Dose CT Colonography

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7601))

Abstract

To screen large populations for colorectal cancer, it may be necessary to reduce the radiation dose of computed tomographic colonography (CTC) examinations. We compared the accuracy of computer-aided detection (CAD) in standard-dose (SD) CTC with that in ultra-low-dose (ULD) CTC. We also assessed the effect of linear and nonlinear denoising methods on CAD performance in ULD CTC. The CAD system was trained to detect polyps with 43 SD CTC studies. It was tested with 24 clinical studies, where the supine series were acquired with SD CTC and the prone series were acquired with ULD CTC. The polyp detection accuracy of CAD was significantly lower in ULD CTC than in SD CTC. Linear denoising of ULD CTC images improved the detection accuracy for large polyps, but it reduced sensitivity for small polyps. However, with nonlinear denoising, the detection accuracy of CAD in ULD CTC was not significantly different from that in SD CTC.

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References

  1. Brenner, D., Georgsson, M.: Mass screening with CT colonography: should the radiation exposure be of concern? Gastroenterology 129, 328–337 (2005)

    Article  Google Scholar 

  2. Chakraborty, D., Berbaum, K.: Observer studies involving detection and localization: modeling, analysis, and validation. Med. Phys. 31, 2313–2330 (2004)

    Article  Google Scholar 

  3. Fisichella, V., Båth, M., Allansdotter, J., Jäderling, F., Bergsten, T., Persson, U., Mellingen, K., Hellström, M.: Evaluation of image quality and lesion perception by human readers on 3D CT colonography: comparison of standard and low radiation dose. Eur. Radiol. 20, 630–639 (2010)

    Article  Google Scholar 

  4. Berrington de González, A., Kim, K., Landsdorp-Vogelaar, I., Rutter, C., et al.: Radiation-related cancer risks from CT colonography screening: a risk-benefit analysis. Am. J. Roentgenol. 196, 816–823 (2011)

    Article  Google Scholar 

  5. Johnson, C., Chen, M.H., Toleday, A., Heiken, J., Dachman, A., Kuo, M., et al.: Accuracy of CT colonography for detection of large adenomas and cancers. N. Engl. J. Med. 359, 1207–1217 (2008)

    Article  Google Scholar 

  6. Johnson, C., Dachman, A.: CT colonography: the next colon screening examination? Radiology 216, 331–341 (2000)

    Google Scholar 

  7. Kalra, M., Woisetschläger, M., Dahlström, N., Singh, S., Linblom, M., et al.: Radiation dose reduction with sinogram affirmed iterative reconstruction technique for abdominal computed tomography. J. Comput. Assist. Tomogr. 36, 339–346 (2012)

    Article  Google Scholar 

  8. Kim, D., Pickhardt, P., Taylor, A., Leung, W., Winter, T., Hinshaw, J., Gopal, D., Reichelderfer, M., Hsu, R., Pfau, P.: CT colonography versus colonoscopy for the detection of advanced neoplasia. N. Engl. J. Med. 357, 1403–1412 (2007)

    Article  Google Scholar 

  9. Kim, S., Lee, J., Shin, C., Kim, H., Lee, J., et al.: Effects of spatial resolution and tube current on computer-aided detection of polyps on CT colonographic images: phantom study. Radiology 248, 492–503 (2008)

    Article  Google Scholar 

  10. Kiss, G., Drisis, S., Bielen, D., Maes, F., Van Cleynenbreugel, J., et al.: Computer-aided detection of colonic polyps using low-dose CT acquisitions. Acad. Radiol. 13, 1062–1071 (2006)

    Article  Google Scholar 

  11. Laghi, A., Iafrate, F., Rengo, M., Hassan, C.: Colorectal cancer screening: the role of CT colonogrpahy. World J. Gastroenterol. 16, 3987–3994 (2010)

    Article  Google Scholar 

  12. Näppi, J., Frimmel, H., Dachman, A., Yoshida, H.: A new high-performance CAD scheme for the detection of polyps in CT colonography. In: Fitzpatrick, J., Sonka, M. (eds.) SPIE Medical Imaging 2004, vol. 5370, pp. 839–848 (2004)

    Google Scholar 

  13. Näppi, J., Yoshida, H.: Automated detection of polyps in CT colonography: evaluation of volumetric features for reduction of false positives. Acad. Radiol. 9, 386–397 (2002)

    Article  Google Scholar 

  14. Näppi, J., Yoshida, H.: Fully automated three-dimensional detection of polyps in fecal-tagging CT colonography. Acad. Radiol. 25, 287–300 (2007)

    Article  Google Scholar 

  15. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE T. Pattern Anal. 12, 629–639 (1990)

    Article  Google Scholar 

  16. Pickhardt, P., Choi, J., Hwang, I., Butler, J., Puckett, M., Hildebrandt, H., Wong, R., Nugent, P., Mysliwiec, P., Schindler, W.: Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N. Engl. J. Med. 349, 2191–2200 (2003)

    Article  Google Scholar 

  17. Schoonenberg, G.A.F., Vries, A.H., de Grigorescu, S.E., Peters, J., Vilanova, A., Truyen, R., Stoker, J., Gerritsen, F.A.: Effects of filtering on colorectal polyp detection in ultra low dose CT. In: Manduca, A., Amini, A. (eds.) SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, vol. 6143, pp. 18–1–18–10. SPIE, San Diego (2006)

    Google Scholar 

  18. Thorne, M.: Background radiation: natural and man-made. Radiol. Prot. 23, 29–42 (2003)

    Article  Google Scholar 

  19. Yoshida, H., Näppi, J.: Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Trans. Med. Imaging 20, 1261–1274 (2001)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Näppi, J.J., Imuta, M., Yamashita, Y., Yoshida, H. (2012). Computer-Aided Detection for Ultra-Low-Dose CT Colonography. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2012. Lecture Notes in Computer Science, vol 7601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33612-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-33612-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33611-9

  • Online ISBN: 978-3-642-33612-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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