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Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography

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Abdominal Imaging. Computational and Clinical Applications (ABD-MICCAI 2012)

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

Abstract

A low-dose CT simulation technique is presented which might allow for a virtual ultra-low-dose trial in CT colonography without requiring raw sinogram data. A virtual sinogram is generated by performing the line integral of the CT number-based attenuation value with use of the CT scan parameters available in the DICOM header and in the literature. A separate noise sinogram is generated with use of a noise model, which incorporates the X-ray photon flux depending on the mAs, system electronic noise, and virtual sinogram. A synthetic noise CT image is generated by application of the filtered back projection of the noise sinogram with use of an appropriate filter that depends on the reconstruction kernel of the original CT. Finally, a simulated low-dose CT image is generated by addition of the CT data for the synthetic noise to the original CT data. Clinical CT colonography images with and without fecal tagging were used as simulation input and 50%, 25%, and 12.5% dose images were generated and evaluated. Our results suggest that the proposed CT simulation technique has potential for application in virtual ultra-low-dose trial in CT colonography in which an unlimited number of scan protocols could be performed without repetition of the real CT exposure to the patients.

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© 2012 Springer-Verlag Berlin Heidelberg

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Kim, C.W., Kim, J.H. (2012). Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in 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_6

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  • DOI: https://doi.org/10.1007/978-3-642-33612-6_6

  • 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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