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3 July 2001 Template-based scatter correction in clinical brain perfusion SPECT
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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Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431167
Event: Medical Imaging 2001, 2001, San Diego, CA, United States
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.
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Michel Koole, Rik Van de Walle, Koen Van Laere, Luc Bouwens, Yves D'Asseler, Stefaan Vandenberghe, Ignace L. Lemahieu, and Rudi A. Dierckx "Template-based scatter correction in clinical brain perfusion SPECT", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431167
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KEYWORDS
Brain
Data acquisition
Photons
Single photon emission computed tomography
Cameras
Imaging systems
Neuroimaging
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