Zusammenfassung
Patient dose reduction in C-arm computed tomography by volume-of-interest (VOI) imaging is becoming an interesting topic for many clinical applications. One limitation of VOI imaging that remains is the truncation artifact in the reconstructed 3-D volume. This artifact can either be a cupping effect towards the boundaries of the field-of-view (FOV) or an offset in the Hounsfield values of the reconstructed voxels. A new method for the correction of truncation artifacts in a collimated scan is introduced in this work. Scattered radiation still reaches the detector and is detected outside of the FOV, even if axial or lateral collimation is used. By reading out the complete detector area, we can use the scatter signal to estimate the truncated parts of the object: The scattered radiation outside the FOV is modeled as a convolution with a scatter kernel. This new approach is called scatter correction. The reconstruction results using Scatter convolution are at least as good or better than the results with a state-of-the-art method. Our results show that the use of scattered radiation outside the FOV improves image quality by 1.8 %.
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Literatur
Chintalapani G, Chinnadurai P, Maier A, et al. The value of volume of interest (VOI) C-arm CT imaging in the endovascular treatment of intracranial aneurysms: a feasibility study. Procs ASNR. 2012;12-O-1509-ASNR.
Zeng L. Medical Image Reconstruction. 1st ed. Heidelberg: Springer Verlag; 2010.
Kolditz D, Kyriakou Y, Kalender WA. Volume-of-interest (VOI) imaging in C-arm flat-detector CT for high image quality at reduced dose. Med Phys. 2010;37(6):2719–30.
Kudo H, Courdurier M, Noo F, et al. Tiny a priori knowledge solves the interior problem in computed tomography. Phys Med Biol. 2008;53(9):2207–31.
Hsieh J, Chao E, Thibault J, et al. A novel algorithm to extend the CT scan field-of-view. Med Phys. 2004;31(9):2385–91.
Dennerlein F, Maier A. Region-of-interest reconstruction on medical c-arms with the ATRACT algorithm. Medical Imaging 2012: Physics of Medical Imaging. 2012;8313:83131B–83131B–9.
Xia Y, Maier A, Dennerlein F, et al. Efficient 2D filtering for cone-beam VOI reconstruction. IEEE MIC. 2012;P. to appear.
Chityala R, Hoffmann KR, Bednarek DR, et al. Region of interest (ROI) computed tomography. Proc Soc Photo Opt Instrum Eng. 2004;5745(1):534–41.
Rührnschopf EP, Klingenbeck K. A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography. Part 1+2. Med Phys. 2011;38(7):4296–311, 5186–99.
Siewerdsen JH, Daly MJ, Bakhtiar B, et al. A simple direct method for x-ray scatter estimation and correction in digital radiography and cone-beam CT. Med Phys. 2006;33(1):187–97.
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Bier, B. et al. (2013). Convolution-Based Truncation Correction for C-Arm CT Using Scattered Radiation. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_59
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DOI: https://doi.org/10.1007/978-3-642-36480-8_59
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