Abstract
In computed tomography metal objects lead to inconsistencies in the acquired data which result in image artifacts after reconstruction. To enhance the image quality and allow for a more accurate diagnosis, a metal artifact reduction is required. Approaches may base on a recomputation of metal influenced values or use an alternative image reconstruction technique, which is less sensitive to inconsistent raw data than the standard filtered backprojection. Here, a two-step algorithm for metal artifact reduction is proposed, which combines a 2D NFFT-based interpolation and an MLEM reconstruction with spherically symmetric basis functions (blobs). Reconstructed images have been evaluated visually and quantitatively. Experiments show that combination of a 2D NFFT-based interpolation and blobs offers an effective strategy for enhanced metal artifacts suppression.
Original language | English |
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Title of host publication | IEEE Nuclear Science Symposuim & Medical Imaging Conference |
Number of pages | 3 |
Publisher | IEEE |
Publication date | 01.12.2010 |
Pages | 3343-3345 |
Article number | 5874424 |
ISBN (Print) | 978-1-4244-9106-3 , 978-1-4244-9104-9 |
ISBN (Electronic) | 978-1-4244-9105-6 |
DOIs | |
Publication status | Published - 01.12.2010 |
Event | 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference - Knoxville, United States Duration: 30.10.2010 → 06.11.2010 |