Simulation and Patient Study of Scatter Correction in Cardiac SPECT Imaging

Document Type: Original Paper

Authors

1 Department of Physics, Faculty of Science, University of Mohaghegh Ardabili, Ardabil

2 Echocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran

Abstract

Introduction: Myocardial perfusion imaging (MPI) is a nuclear medicine imaging method that is used to detect the coronary artery diseases (CAD). One of the main sources of error in this imaging method is the detection of Compton scattered photons in the photopeak energy window used for data acquisition that results in degradation of the image contrast and therefore, decrease the diagnostic accuracy.
Methods and Materials: In this study, we investigate the effect of dual-energy window (DEW) correction method in the reduction of undesirable influence of the scattered photons on the images obtained from 1) the 3D-NCAT phantom by SIMIND Monte Carlo simulation program, and 2) a group of patients, including 18 men and 27 women by SIEMENS SPECT/CT imaging system in both rest and stress situations. To evaluate the performance of the scatter correction method, the image contrasts are calculated for images before and after applying the scatter correction.
Results: The results obtained from this study indicate that, the calculated image contrasts enhance by applying the scatter correction in both simulation and patient studies. In the simulation study, the relative increase of image contrast is about 10.15% when using a k value equal to 0.5, and about 12.58% when using the linear fitting method. In the patient study, the relative increase of image contrasts for rest and stress situations are about 13.63% and 10.84% for women and 12.03% and 10.56% for men, respectively.
Conclusion: Use of the DEW method for scatter correction of cardiac SPECT images results in increase of the image contrast and improvement of the image quality.

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Articles in Press, Accepted Manuscript
Available Online from 25 March 2019
  • Receive Date: 31 December 2018
  • Revise Date: 20 March 2019
  • Accept Date: 25 March 2019