Cardiac perfusion defect detection using gated dynamic SPECT imaging
In our previous work we proposed a dynamic image reconstruction procedure for gated cardiac imaging, of which the goal is to obtain a single image sequence that shows simultaneously both cardiac motion and tracer distribution change over time. In this work, we further develop and demonstrate the feasibility of this procedure for perfusion defect detection in gated cardiac imaging. We conduct Fisher's linear discriminant analysis on the reconstructed dynamic images, and derive quantitative measures to differentiate defects from normal myocardial perfusion. Results are presented to demonstrate the proposed development using simulated gated cardiac imaging with the NURBS-based cardiac-torso (NCAT) phantom.