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Performance of OSEM and Depth-Dependent Resolution Recovery Algorithms for the Evaluation of Global Left Ventricular Function in 201Tl Gated Myocardial Perfusion SPECT

Doumit Daou, MD1, Isabelle Pointurier, MS1, Carlos Coaguila, MD1, Didier Vilain, MD2, Abdel Wahab Benada, MD1, Rachida Lebtahi, MD, PhD3, Thierry Fourme, MD4, Michel Slama, MD4 and Dominique Le Guludec, MD, PhD3

1 Department of Nuclear Medicine, Lariboisière University Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
2 Foch Hospital, Suresnes, France
3 Bichat University Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
4 Department of Cardiology, Antoine Béclère University Hospital, Assistance Publique-Hôpitaux de Paris, Clamart, France



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  		FIGURE 1. Illustration of operator-RESTORE software interface. Various parameters are integrated in this depth-dependent RR processing software: hole diameter and length of collimator, intrinsic resolution, distance to field of view, roll-off boost point, roll-off frequency slider, and Butterworth order.

 


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  		FIGURE 2. Illustration of GSPECT study of patient with anterior myocardial infarction. Reported are vertical long-axis slices of both end-diastolic (ED) and end-systolic (ES) segments with different processing methods.

 


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  		FIGURE 3. Linear correlation of FBP GSECT method versus planarRNA method for LVEF calculation. ser = SE of regression.

 


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  		FIGURE 4. Bland-Altman analysis of the 4 different GSPECT methods (FBP, OSEM, RR + FBP, and RR + OSEM) versus planarRNA method for LVEF calculation.

 


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  		FIGURE 5. Linear correlation of FBP GSPECT method versus Rx for LV volume calculation. Volumes are expressed in milliliters. ser = SE of regression.

 


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  		FIGURE 6. Bland-Altman analysis of the 4 different GSPECT methods (FBP, OSEM, RR + FBP, and RR + OSEM) versus Rx for LV volume calculation. Volumes are expressed in milliliters.

 




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