Optimizing myocardial perfusion SPECT systems and methods for perfusion defect detection is highly significant. While mathematical observers exist for this purpose, they do not account for the variability in cardiac defect characteristics. In a series of articles, we investigate the causes for this issue and propose a novel mathematical observer that addresses this issue.
- X. Li, A. K. Jha, M. Ghaly, F. E. A. Elshahaby, J. M. Links, E. C. Frey, “A Sub-ensemble-based approach for detection task performance evaluation for non-multivariate-normally distributed data using multi-template linear observer strategies”, IEEE Trans. Med. Imaging, 36(4), 2017 (pdf)
- F. E. A. Elshahaby, A. K. Jha, M. Ghaly, E. C. Frey, “A Comparison of Resampling Schemes for Estimating Model Observer Performance with Small Ensembles”, Phys. Med. Biol., 22;62(18):7300-7320, 2017 (pdf)
- F. E. A. Elshahaby, M. Ghaly, A. K. Jha, E. C. Frey, “Factors Affecting the Normality of Anthropomorphic Channel Outputs: An Investigation using Realistic Myocardial Perfusion SPECT Images”, J. Med. Imag., 3(1), 015503-1-17, 2016 (pdf)