title: How background noise shifts eigenvectors and increases eigenvalues in DTI.
abstract: BACKGROUND
  The signal-to-noise ratio of in vivo diffusion tensor imaging (DTI) is usually very limited, especially if high resolution data is acquired. In a variety of settings, the signal of diffusion weighted images can drop below the background noise level yielding an underestimated diffusion constant. In this work, we report two new artefacts in DTI that are important in this regime.
  
  
  METHODS
  Both artifacts are described analytically and numerically and are demonstrated in DTI phantoms and in subjects in vivo.
  
  
  RESULTS
  First, eigenvectors are systematically shifted towards distinct 'attractive' orientations of the gradient scheme. Second, certain eigenvalues can be overestimated due to the underestimation of the measured diffusion, which can result in the misordering of eigenvalues.
  
  
  CONCLUSIONS
  We show that these effects are relevant for current clinical settings of DTI.
authors.affiliation: Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany. f.laun@dkfz.de
authors.forename: Frederik Bernd
authors.initials: FB
authors.lastname: Laun
authors.forename: Lothar Rudi
authors.initials: LR
authors.lastname: Schad
authors.forename: Jan
authors.initials: J
authors.lastname: Klein
authors.forename: Bram
authors.initials: B
authors.lastname: Stieltjes
mesh_terms: D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D019047:Phantoms, Imaging