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Techniques to alleviate the effects of view aliasing artifacts in computed tomography
R R Galigekere1, K Wiesent, D W Holdsworth
1Imaging Research Laboratories, J.P. Robarts Research Institute, London, Ontario, Canada.
Medical Physics
|August 7, 1999
Summary
This study introduces post-processing techniques to reduce artifacts in 3-D computed tomography (CT) imaging caused by limited views. The intermediate view reprojection (IVR) method effectively minimizes artifacts with fewer side effects.
Area of Science:
- Medical Imaging
- Image Reconstruction
- Computational Imaging
Background:
- 3-D computed tomography (CT) systems face challenges in acquiring sufficient data for high-quality reconstructions.
- Limited views in CT data acquisition lead to view aliasing artifacts during image reconstruction using convolution backprojection (CBP).
Purpose of the Study:
- To investigate and compare post-processing methods for alleviating view aliasing artifacts in 3-D CT reconstructions.
- To evaluate the effectiveness and applicability of different artifact reduction techniques.
Main Methods:
- The study examined two primary post-processing methods: intermediate view reprojection (IVR) and error-correction (EC).
- The IVR method estimates intermediate views and reconstructs using an augmented dataset.
- The EC method refines initial reconstructions based on projection-domain error.
Main Results:
- The intermediate view reprojection (IVR) method demonstrated effectiveness in reducing view aliasing artifacts.
- IVR showed less susceptibility to secondary artifacts compared to other methods.
- IVR is a simple and applicable method, particularly for region-of-interest reconstructions.
Conclusions:
- Post-processing methods can significantly mitigate view aliasing artifacts in 3-D CT.
- The IVR method offers a promising approach for improving image quality in data-limited CT scenarios.
- IVR provides a balance of simplicity, artifact reduction, and minimal secondary effects.