6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Metal Artifact Reduction in CT: Where Are We After Four Decades?

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references 107

          • Record: found
          • Abstract: not found
          • Article: not found

          Computerized transverse axial scanning (tomography). 1. Description of system.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets.

            When the number of projections does not satisfy the Shannon/Nyquist sampling requirement, streaking artifacts are inevitable in x-ray computed tomography (CT) images reconstructed using filtered backprojection algorithms. In this letter, the spatial-temporal correlations in dynamic CT imaging have been exploited to sparsify dynamic CT image sequences and the newly proposed compressed sensing (CS) reconstruction method is applied to reconstruct the target image sequences. A prior image reconstructed from the union of interleaved dynamical data sets is utilized to constrain the CS image reconstruction for the individual time frames. This method is referred to as prior image constrained compressed sensing (PICCS). In vivo experimental animal studies were conducted to validate the PICCS algorithm, and the results indicate that PICCS enables accurate reconstruction of dynamic CT images using about 20 view angles, which corresponds to an under-sampling factor of 32. This undersampling factor implies a potential radiation dose reduction by a factor of 32 in myocardial CT perfusion imaging.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              CT artifacts: causes and reduction techniques

                Bookmark

                Author and article information

                Journal
                IEEE Access
                IEEE Access
                Institute of Electrical and Electronics Engineers (IEEE)
                2169-3536
                2016
                2016
                : 4
                : 5826-5849
                Article
                10.1109/ACCESS.2016.2608621
                a56598d0-8944-4a7d-8169-47b999fac63c
                © 2016
                Product

                Comments

                Comment on this article