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1 March 2019 Quantitative evaluation of the effect of attenuation correction in SPECT images with CT-derived attenuation
Meysam Tavakoli, Marian Naij
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In this study, we assessed the importance of attenuation correction by quantitative evaluation of errors associated with attenuation in myocardial SPECT in a phantom study. To do attenuation correction we use an attenuation map derived from X-ray CT data. The succession of attenuation correction highly depends on high quality of attenuation maps. CT derived attenuation map in related to non-uniform attenuation correction is used to do transmission dependent scatter correction. The OSEM algorithm with attenuation model was developed and used for attenuation correction during image reconstruction. Finally a comparison was done between reconstructed images using our OSEM code and analytical FBP method. The results of measurements show that: Our programs are capable to reconstruct SPECT images and correct the attenuation effects. Moreover to evaluate reconstructed image quality before and after attenuation correction we applied a famous approach using Image Quality Index. Attenuation correction increases the quality and quantity factors in both methods. This increasing is independent of activity in quantity factor and decrease with activity in quality factor. Both quantitative and qualitative of SPECT images were improved by attenuation correction. In both OSEM and FBP the activity ratio of heart phantom in comparison with the markers was very increased. So the attenuation correction in fat patients and low activity is recommended. Attenuation correction with CT images and OSEM reconstruction in the condition of complete registration yields superior results.
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Meysam Tavakoli and Marian Naij "Quantitative evaluation of the effect of attenuation correction in SPECT images with CT-derived attenuation", Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109485U (1 March 2019);

Single photon emission computed tomography

Computed tomography

Reconstruction algorithms


Image quality

Image filtering


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