Name
Abstract | ||
|---|---|---|
The presence of metal in the scanning field of a CT scanner can create so-called metal artifacts in the reconstructed images. These streak artifacts obscure information about anatomical structures, making it difficult for radiologists to correctly interpret the images or for computer programs to analyze them. Several methods have been proposed in the literature based on the reconstruction of the missing/corrupted projection data using the raw data directly from the tomographs. This paper proposes an image-based strategy consisting of the image registration and the morphological reconstruction. Preliminary results on the CT images from different CT scanners and patients are presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MIPRO.2016.7522184 | 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) |
Keywords | Field | DocType |
CT,metal artifact,image registration,mathematical morphology | Iterative reconstruction,Metal Artifact,Computer vision,Computer science,Interpolation,Streak,Image based,Scanner,Artificial intelligence,Image restoration,Image registration | Conference |
ISBN | Citations | PageRank |
978-1-5090-2543-5 | 1 | 0.41 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amira Serifovic-Trbalic | 1 | 11 | 4.42 |
| Amira Serifovic-Trbalic | 2 | 11 | 4.42 |