Gabiger-Rose A, Weigel R, Oeckl S, Schmitt P (2010)
Publication Type: Conference contribution
Publication year: 2010
Publisher: University of Utah, Department of Radiology
Pages Range: 140-143
Conference Proceedings Title: The First International Conference on Image Formation in X-Ray Computed Tomography
Event location: Salt Lake City, USA.
URI: http://www.ucair.med.utah.edu/CTmeeting/ProceedingsCTMeeting2010.pdf
In this paper, the way to enhance the image quality of 3D-CT reconstruction by means of noise filtering in 2D projections is shown. The noise reduction is done by applying a bilateral filter, which is well known for its edge-preserving quality. During the measurement of the projections the noise signal of the system is superimposed to the image signal. This noise propagates into the reconstruction and can be measured in the cross sections of the reconstructed volume. In order to reduce the noise in the volume, the preprocessing of the projections is extended by noise filtering prior to the logarithm transform and the ramp filtering. The capability of the bilateral filter to reduce image noise without blurring or corruption of the image contents combined with the real-time implementation on FPGA makes this filter suitable for the application to the x-ray projections. As it is shown in this paper, not only the noise is suppressed in the reconstruction, but due to the edge-preserving filtering of noise in the projections the structural details in the reconstruction are resolved better.
APA:
Gabiger-Rose, A., Weigel, R., Oeckl, S., & Schmitt, P. (2010). Enhancement of CT Image Quality via Bilateral Filtering of Projections. In The First International Conference on Image Formation in X-Ray Computed Tomography (pp. 140-143). Salt Lake City, USA.: University of Utah, Department of Radiology.
MLA:
Gabiger-Rose, Anna, et al. "Enhancement of CT Image Quality via Bilateral Filtering of Projections." Proceedings of the The First International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, USA. University of Utah, Department of Radiology, 2010. 140-143.
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