A Fully 4D Expectation Maximization Algorithm Using Gaussian Diffusion Based Detector Response for Slow Camera Rotation Dynamic SPECT
نویسندگان
چکیده
The dynamic expectation maximization algorithm (dEM) has been developed to determine the kinetic information of various metabolic processes from SPECT projection data acquired with a single slow camera rotation. Depth-dependent detector response compensation (DRC) has been tested as a means to improve the accuracy of these reconstructions. As well, by limiting the number of temporal frames in a dSPECT reconstruction, it is hoped that improved image quality will result. With this reduction in temporal frames, it becomes possible to use block-iterative type reconstruction methods to decrease reconstruction time.
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