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

Yulia Levakhina, Baerbel Kratz, Thorsten M. Buzug

1 Citation (Scopus)

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 languageEnglish
Title of host publicationIEEE Nuclear Science Symposuim & Medical Imaging Conference
Number of pages3
PublisherIEEE
Publication date01.12.2010
Pages3343-3345
Article number5874424
ISBN (Print)978-1-4244-9106-3 , 978-1-4244-9104-9
ISBN (Electronic)978-1-4244-9105-6
DOIs
Publication statusPublished - 01.12.2010
Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference - Knoxville, United States
Duration: 30.10.201006.11.2010

Fingerprint

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