Robustness of anatomically guided pixel-by-pixel algorithms for partial volume effect correction in positron emission tomography

J Cereb Blood Flow Metab. 1999 May;19(5):547-59. doi: 10.1097/00004647-199905000-00009.

Abstract

Several algorithms have been proposed to improve positron emission tomography quantification by combining anatomical and functional information in a pixel-by-pixel correction scheme. The precision of these methods when applied to real data depends on the precision of the manifold correction steps, such as full-width half-maximum modeling, magnetic resonance imaging-positron emission tomography registration, tissue segmentation, or background activity estimation. A good understanding of the influence of these parameters thus is critical to the effective use of the algorithms. In the current article, the authors present a monodimensional model that allows a simple theoretical and experimental evaluation of correction imprecision. The authors then assess correction robustness in three dimensions with computer simulations, and evaluate the validity of regional SD as a correction performance criterion.

MeSH terms

  • Algorithms*
  • Artifacts
  • Brain / diagnostic imaging*
  • Computer Simulation
  • Image Processing, Computer-Assisted*
  • Models, Anatomic*
  • Models, Neurological*
  • Phantoms, Imaging
  • Reproducibility of Results
  • Tomography, Emission-Computed*