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Ring artifacts removal from synchrotron CT image slices
- Source :
- Journal of Instrumentation. 8:C06006-C06006
- Publication Year :
- 2013
- Publisher :
- IOP Publishing, 2013.
-
Abstract
- Ring artifacts can occur in reconstructed images from x-ray Computerized Tomography (CT) as full or partial concentric rings superimposed on the scanned structures. Due to the data corruption by those ring artifacts in CT images, qualitative and quantitative analysis of these images are compromised. In this paper, we propose to correct the ring artifacts on the reconstructed synchrotron radiation (SR) CT image slices. The proposed correction procedure includes the following steps: (1). transform the reconstructed CT images into polar coordinates; (2) apply discrete two-dimensional (2D) wavelet transform to the polar image to decompose it into four image components: low pass band image component, as well as the components from horizontal, vertical and diagonal details bands; (3). apply 2D Fourier transform to the vertical details band image component only, since the ring artifacts become vertical lines in the polar coordinates; (4). apply Gaussian filtering in Fourier domain along the abscissa direction to suppress the vertical lines, since the information of the vertical lines in Fourier domain is completely condensed to that direction; (5). perform inverse Fourier transform to get the corrected vertical details band image component; (6). perform inverse wavelet transform to get the corrected polar image; (7). transform the corrected polar image back to Cartesian coordinates to get the CT image slice with reduced ring artifacts. This approach has been successfully used on CT data acquired from the Biomedical Imaging and Therapy (BMIT) beamline in Canadian Light Source (CLS), and the results show that the ring artifacts in original SR CT images have been effectively suppressed with all the structure information in the image preserved.
- Subjects :
- Physics
Ring (mathematics)
business.industry
Wavelet transform
Image processing
law.invention
symbols.namesake
Fourier transform
Optics
law
Computer Science::Computer Vision and Pattern Recognition
symbols
Medical imaging
Cartesian coordinate system
Tomography
Polar coordinate system
business
Instrumentation
Mathematical Physics
Subjects
Details
- ISSN :
- 17480221
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Journal of Instrumentation
- Accession number :
- edsair.doi...........e5e57703bf7eb34ab2382ff1d3759685
- Full Text :
- https://doi.org/10.1088/1748-0221/8/06/c06006