The Evaluation of Corrective Reconstruction Method For Reduced Acquisition Time and Various Anatomies of Perfusion Defect Using XXXX for Myocardial Perfusion SPECT.

@entity29983 @entity30220 @entity296
UNASSIGNED: We evaluated the effect of conventional and corrective image reconstruction methods on reduced acquisition time for detecting a myocardial perfusion (MP) defect in MP SPECT using the @entity29983 ( @entity29983 ). Using the 4D Extended Cardiac-Torso (XCAT) phantom, we simulated realistic transmural and @entity296 in various location and size. Realistic Tc-99m Sestamibi MP projection data were generated using an analytical projector that included the effects of attenuation (A), collimator-detector response (D) and scatter (S) for various count levels simulating different acquisition times. They were reconstructed using the 3D @entity30220 without correction and a 3D OS-EM method with ADS correction followed by a smoothing filter with various cut-off frequencies. The @entity29983 followed by receiver operating characteristics (ROC) methodology was applied to the reconstructed images to evaluate the detectability of a @entity296 in each method for different defect anatomies and count levels. Areas under the ROC curve (AUC) were computed to assess the changes in the @entity296 detection. The results showed that the 3D OS-EM with ADS corrections showed significantly less changes in AUC value and gave overall higher AUC values than @entity30220 at all cut-off frequencies of the post smoothing filter, count levels and @entity296 sizes. The difference in AUC increased towards less smoothed images where the 3D OS-EM with correction was able to provide similar AUC values with 20 - 40% reduction in acquisition time compared to @entity30220 . The AUC values for @entity296 were lower for both reconstruction methods with smaller differences. We concluded that the 3D OS-EM with ADS corrections provides higher performance in the @entity296 detection task. It allows increased reduction of acquisition time without loss of @entity296 detection in MP SPECT compared to the conventional @entity30220 method especially towards less smoothed images.
