UNIGE document Scientific Article
previous document  unige:40048  next document
add to browser collection

X-ray CT metal artifact reduction using wavelet domain L0 sparse regularization

Rahmim, Arman
Published in IEEE transactions on medical imaging. 2013, vol. 32, no. 9, p. 1707-22
Abstract X-ray computed tomography (CT) imaging of patients with metallic implants usually suffers from streaking metal artifacts. In this paper, we propose a new projection completion metal artifact reduction (MAR) algorithm by formulating the completion of missing projections as a regularized inverse problem in the wavelet domain. The Douglas-Rachford splitting (DRS) algorithm was used to iteratively solve the problem. Two types of prior information were exploited in the algorithm: 1) the sparsity of the wavelet coefficients of CT sinograms in a dictionary of translation-invariant wavelets and 2) the detail wavelet coefficients of a prior sinogram obtained from the forward projection of a segmented CT image. A pseudo- L0 synthesis prior was utilized to exploit and promote the sparsity of wavelet coefficients. The proposed L0-DRS MAR algorithm was compared with standard linear interpolation and the normalized metal artifact reduction (NMAR) approach proposed by Meyer using both simulated and clinical studies including hip prostheses, dental fillings, spine fixation and electroencephalogram electrodes in brain imaging. The qualitative and quantitative evaluations showed that our algorithm substantially suppresses streaking artifacts and can outperform both linear interpolation and NMAR algorithms.
Keywords AlgorithmsArtifactsComputer SimulationElectroencephalographyHead/radiographyHip/radiographyHumansImage Processing, Computer-Assisted/methodsModels, BiologicalPhantoms, ImagingSpine/radiographyTomography, X-Ray Computed/methodsWavelet Analysis
PMID: 23744669
Full text
Article (Published version) (2.6 MB) - public document Free access
Research group Imagerie Médicale (TEP et TEMP) (542)
Swiss National Science Foundation: 31003A_149957
(ISO format)
MEHRANIAN, Abolfazl et al. X-ray CT metal artifact reduction using wavelet domain L0 sparse regularization. In: IEEE transactions on medical imaging, 2013, vol. 32, n° 9, p. 1707-22. doi: 10.1109/TMI.2013.2265136 https://archive-ouverte.unige.ch/unige:40048

470 hits



Deposited on : 2014-09-09

Export document
Format :
Citation style :