Abstract
Statistical reconstruction (SR) of X-ray CT data may lead to images that are seriously affected by edge artifacts that are not present in Filtered Back Projection (FBP) images. These artifacts appear as interference patterns and as severe overshoots in the areas of sharp intensity transitions. We attribute this inherent property of iterative reconstructions to discretization errors. A fundamental solution to the problem is to perform the reconstructions on an image grid that is finer than typically employed for FBP reconstruction, followed by a downsampling of the resulting image to a granularity normally used for display. We show that such a procedure strongly suppresses the edge artifacts and is a much more effective solution than post-filtering of the reconstructions.
| Original language | English (US) |
|---|---|
| Article number | M14-324 |
| Pages (from-to) | 3205-3207 |
| Number of pages | 3 |
| Journal | IEEE Nuclear Science Symposium Conference Record |
| Volume | 5 |
| State | Published - Dec 1 2003 |
| Externally published | Yes |
| Event | 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States Duration: Oct 19 2003 → Oct 25 2003 |
Keywords
- Artifact reduction
- Edge artifacts
- Imaging
- Iterative reconstruction
- Maximum likelihood
- Tomography
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging