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22 March 2012 An image-based approach to low-dose CT simulation
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An image-based low-dose simulation method for CT is presented which does not require raw sinogram data. A virtual sinogram is generated by performing line integral of the CT number-based attenuation value using CT scan parameters available in the literature, and a separate noise sinogram is generated using a noise model which incorporating X-ray photon flux depending on mAs, system electronic noise, and the virtual sinogram. A synthetic noise CT data is generated by applying FBP of the noise sinogram using an appropriate filter depending on reconstruction kernel of original CT. Finally, a simulated low-dose CT image is generated by adding the synthetic noise CT data to the original CT data. An anthropomorphic chest phantom was scanned with two different mAs levels(20, 200 mAs), and the developed method was applied to the highest dose image to simulated lower dose images. Comparison of standard deviation on selected ROIs showed an acceptable agreement with difference ranging 1.3 to 12.5%, and other texture features exhibited appreciable differences between the real low-dose and simulated low-dose CT data. In conclusion, the proposed image-based low-dose CT simulation method might be a useful tool for assessing low-dose CT application in various clinical settings even when raw sinogram is not available.
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Chang Won Kim and Jong Hyo Kim "An image-based approach to low-dose CT simulation", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83134D (22 March 2012);

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