Title :
Quantitative evaluation of an energy-based scatter correction using planar Rollo phantom images
Author :
Kaplan, M.S. ; Haynor, D.R. ; Lewellen, T.K. ; Pollard, K.R. ; Miyaoka, R.S. ; Harrison, R.L.
Author_Institution :
Washington Univ., Seattle, WA, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
An energy-based scatter correction for SPECT and planar images is quantitatively evaluated using measured Rollo phantom data. The correction relies on model fits to the energy spectra at each pixel in a given projection image. For analysis purposes, a numerical model of the Rollo phantom is employed to construct a projection image corresponding to that expected from an ideal imaging system. This is then convolved with the measured spatial point response (in air) of the actual imaging system to produce a realistic estimate of the scatter-free image. Summary statistics derived from comparisons between this image and the raw and scatter-corrected images are extremely reliable quantitative measures of the detrimental effects of scatter. Position and energy (xyE) list mode data were acquired for several isotopes, each with 0, 5, 10, and 15 cm of Lucite intervening between the phantom and the collimator face to induce varying amounts of scatter. Analysis of the 99mTc and 201Tl data demonstrates a significant improvement in quantitation for high count images as well as for images of clinical count densities
Keywords :
computerised tomography; gamma-ray scattering; medical image processing; radioisotope scanning and imaging; 201Tl data; 99mTc; SPECT images; Tc; Tl; clinical count densities; energy-based scatter correction; ideal imaging system; list mode data; medical diagnostic imaging; nuclear medicine; numerical model; planar Rollo phantom images; projection image; scatter detrimental effects; single photon emission computerised tomography; spatial point response; Electromagnetic scattering; Energy measurement; Image analysis; Imaging phantoms; Isotopes; Numerical models; Particle scattering; Pixel; Single photon emission computed tomography; Statistics;
Journal_Title :
Nuclear Science, IEEE Transactions on