Evaluation of a 4D MAP-RBI-EM Image Reconstruction Method for Gated Myocardial SPECT using a Human Observer Study

Lee, Taek Soo; Tsui, B.M.W.

doi:10.1007/978-3-540-36841-0_410

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“…A 4D maximum a posteriori rescaled-block iterative (MAP-RBI)-EM algorithm with Gibbs priors (Lalush and Tsui 1998) was developed to take advantage of the MAP statistical model (Shepp and Vardi 1982), which has been applied to projection data in emission tomography (Levitan and Herman 1987), and the algorithm also utilizes the RBI-EM image reconstruction algorithm (Byrne 1996). In a preliminary studies (Lee and Tsui 2009, Lee et al 2005a, Lee and Tsui 2006, the 4D MAP-RBI-EM reconstruction algorithm with optimized parameters and with compensation of image degradation effects including attenuation, collimator-detector response and scatter (ADS) provided a significantly improved trade-off between normalized mean squared error (NMSE) and normalized standard deviation (NSD) of the 4D gated MP SPECT images when compared to conventional image reconstruction methods. The algorithm potentially allows for more temporal samplings per cardiac cycle for better detection of wall motion abnormalities.…”

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confidence: 99%

Task-based evaluation of a 4D MAP-RBI-EM image reconstruction method for gated myocardial perfusion SPECT using a human observer study

et al. 2015

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We evaluated the performance of a new 4D image reconstruction method for improved 4D gated myocardial perfusion (MP) SPECT using a task-based human observer study. We used a realistic 4D NURBS-based Cardiac-Torso (NCAT) phantom that models cardiac beating motion. Half of the population was normal; the other half had a regional hypokinetic wall motion abnormality. Noise-free and noisy projection data with 16 gates/cardiac cycle were generated using an analytical projector that included the effects of attenuation, collimator-detector response, and scatter (ADS), and were reconstructed using the 3D FBP without and 3D OS-EM with ADS corrections followed by different cut-off frequencies of a 4D linear post-filter. A 4D iterative maximum a posteriori rescaled-block (MAP-RBI)-EM image reconstruction method with ADS corrections was also used to reconstruct the projection data using various values of the weighting factor for its prior. The trade-offs between bias and noise were represented by the normalized mean squared error (NMSE) and averaged normalized standard deviation (NSDav), respectively. They were used to select reasonable ranges of the reconstructed images for use in a human observer study. The observers were trained with the simulated cine images and were instructed to rate their confidence on the absence or presence of a motion defect on a continuous scale. We then applied receiver operating characteristic (ROC) analysis and used the area under the ROC curve (AUC) index. The results showed that significant differences in detection performance among the different NMSE-NSDav combinations were found and the optimal trade-off from optimized reconstruction parameters corresponded to a maximum AUC value. The 4D MAP-RBI-EM with ADS correction, which had the best trade-off among the tested reconstruction methods, also had the highest AUC value, resulting in significantly better human observer detection performance when detecting regional myocardial wall motion abnormality. We concluded that the NMSE-NSDav trade-off was shown to agree with observer performance for the detection task of the regional motion abnormality, and the optimized 4D MAP-RBI-EM method with ADS corrections provides significant improvement compared to 3D FBP and 3D OS-EM with ADS corrections in detecting regional myocardial wall motion abnormali in 4D gated MP SPECT.

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