Two-Step Metal Artifact Reduction Using 2D-NFFT and Spherically Symmetric Basis Functions

Yulia Levakhina, Baerbel Kratz, Thorsten M. Buzug


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 languageEnglish
Title of host publicationIEEE Nuclear Science Symposuim & Medical Imaging Conference
Number of pages3
Publication date01.12.2010
Article number5874424
ISBN (Print)978-1-4244-9106-3 , 978-1-4244-9104-9
ISBN (Electronic)978-1-4244-9105-6
Publication statusPublished - 01.12.2010
Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference - Knoxville, United States
Duration: 30.10.201006.11.2010


Dive into the research topics of 'Two-Step Metal Artifact Reduction Using 2D-NFFT and Spherically Symmetric Basis Functions'. Together they form a unique fingerprint.

Cite this