Non-stationary spatial filtering and accelerated curve fitting for parametric imaging with dynamic PET

Eur J Nucl Med. 1988;14(9-10):477-84. doi: 10.1007/BF00252392.


A non-stationary spatial low pass filter was developed and implemented in combination with an accelerated non-linear curve fitting routine to create low noise-high contrast images of physiological parameters with dynamic positron emission tomography. The method was applied to 18F-2-fluoro-2-deoxyglucose (FDG) studies, and images of local blood volume, kinetic rate constants, precursor pool volume and glucose metabolism were generated. Noise reduction and contrast preservation was demonstrated in a simulated pie phantom and a study of a patient with a recent brain infarct. Considerably improvement in quantitative accuracy of pixel parameter values was observed in the phantom study in comparison with unprocessed or conventionally smoothed images.

MeSH terms

  • Cerebral Infarction / diagnostic imaging
  • Deoxyglucose / analogs & derivatives
  • Fluorine Radioisotopes
  • Fluorodeoxyglucose F18
  • Humans
  • Tomography, Emission-Computed / methods*


  • Fluorine Radioisotopes
  • Fluorodeoxyglucose F18
  • Deoxyglucose