Outlier rejection for diffusion weighted imaging

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):161-8. doi: 10.1007/978-3-540-75757-3_20.

Abstract

This paper introduces an outlier rejection and signal reconstruction method for high angular resolution diffusion weighted imaging. The approach is based on the thresholding of Laplacian measurements over the sphere of the apparent diffusion coefficient profiles defined for a given set of gradient directions. Exemplary results are presented.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms*
  • Artifacts*
  • Brain / anatomy & histology*
  • Diffusion Magnetic Resonance Imaging / methods*
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Nerve Fibers, Myelinated / ultrastructure*
  • Reproducibility of Results
  • Sensitivity and Specificity