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Suppression of intensity transition artifacts in statistical x-ray computer tomography reconstruction through radon
Wojciech Zbijewski1, Freek J Beekman
1Rudolf Magnus Institute of Neuroscience and Image Sciences Institute, University Medical Center Utrecht, Universiteitsweg 100, STR5.203, 3584 CG Utrecht, The Netherlands.
Medical Physics
|February 6, 2004
Summary
Statistical reconstruction (SR) significantly speeds up X-ray CT imaging by initializing with filtered back projection (FBP) images. This method reduces artifacts and computational time without compromising image quality.
Area of Science:
- Medical Imaging
- Computational Science
- Image Reconstruction
Background:
- Statistical reconstruction (SR) offers superior resolution-noise trade-offs compared to analytical methods in tomographic imaging.
- SR's computational demands, especially for large datasets in X-ray CT, limit its widespread application.
- Block iterative acceleration schemes, like ordered subsets convex (OSC), can reduce SR reconstruction time by orders of magnitude.
Purpose of the Study:
- To investigate factors prolonging SR reconstruction times in X-ray CT.
- To evaluate the effectiveness of initializing SR with filtered back projection (FBP) images for artifact reduction and time savings.
- To assess the impact of FBP initialization on image quality, specifically the resolution-noise trade-off and contrast-to-noise ratio.
Main Methods:
- Simulation study using monoenergetic and scatter-free projection data.
- Comparison of standard SR with accelerated SR (OSC algorithm).
- Evaluation of SR initialized with FBP-generated images versus standard initialization.
Main Results:
- High-contrast structures in SR can necessitate a high number of iterations to remove artifacts.
- Initializing OSC reconstruction with FBP images effectively suppresses artifacts around high-contrast structures.
- FBP initialization reduced reconstruction time by an order of magnitude.
- Despite initial noise increase, FBP initialization did not significantly compromise the final image's resolution-noise trade-off or contrast-to-noise ratio.
Conclusions:
- Initializing statistical reconstruction with FBP images is an effective strategy to reduce artifacts and computational time in X-ray CT.
- This approach significantly shortens reconstruction duration without a marked degradation of final image quality.
- FBP-initialized SR offers a promising method for accelerating high-quality tomographic image reconstruction.