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Proceedings Paper

Template-based scatter correction in clinical brain perfusion SPECT
Author(s): Michel Koole; Rik Van de Walle; Koen Van Laere; Luc Bouwens; Yves D'Asseler; Stefaan Vandenberghe; Ignace L. Lemahieu; Rudi A. Dierckx
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Paper Abstract

A practical method for scatter compensation in SPECT imaging is the triple energy window technique (TEW) which estimates the fraction of scattered photons in the projection data pixel by pixel. This technique requires an acquisition of counts in three windows of the energy spectrum for each projection bin, which is not possible on every gamma camera. The aim of this study is to set up a scatter template for brain perfusion SPECT imaging by means of the scatter data acquired with the triple energy window technique. This scatter template can be used for scatter correction as follows: the scatter template is realigned with the acquired, by scatter degraded and reconstructed image by means of the corresponding emission template, which also includes scatter counts. The ratios between the voxel values of this emission template and the acquired and reconstructed image are used to locally adjust the scatter template. Finally the acquired and reconstructed image is corrected for scatter by subtracting the thus obtained scatter estimates. We compared the template based approach with the TEW scatter correction technique for data acquired with same gamma camera system and found a similar performance for both correction methods.

Paper Details

Date Published: 3 July 2001
PDF: 11 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431167
Show Author Affiliations
Michel Koole, Ghent Univ. (Belgium)
Rik Van de Walle, Ghent Univ. (Belgium)
Koen Van Laere, Ghent Univ. Hospital (Belgium)
Luc Bouwens, Ghent Univ. (Belgium)
Yves D'Asseler, Ghent Univ. (Belgium)
Stefaan Vandenberghe, Ghent Univ. (Belgium)
Ignace L. Lemahieu, Ghent Univ. (Belgium)
Rudi A. Dierckx, Ghent Univ. Hospital (Belgium)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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