Abstract
Metal objects in the field of view of a computed tomography (CT) scanner cause several artifacts inside the reconstructed image. By reducing the influence of these metallic objects the image quality can be enhanced. We propose a metal artifact reduction (MAR) method based on interpolation using Nonequispaced Fast Fourier Transforms (NFFT). By damping the transformation additional a priori knowledge may be included during the interpolation step. The results are reconstructed with a weighted maximum likelihood expectation maximization algorithm (λ-MLEM) and finally compared to two common one dimensional polynomial interpolation methods.
| Original language | English |
|---|---|
| Title of host publication | 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 01.12.2009 |
| Pages | 2720-2723 |
| Article number | 5401974 |
| ISBN (Print) | 978-1-4244-3962-1, 978-1-4244-3961-4 |
| DOIs | |
| Publication status | Published - 01.12.2009 |
| Event | 2009 IEEE Nuclear Science Symposium Conference Record - Orlando, United States Duration: 25.10.2009 → 31.10.2009 Conference number: 79860 |
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This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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