Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery

摘要

Thanks to its ability to yield functionally rather than anatomically-based information, the single photon emission com- puted tomography (SPECT) imagery technique has become a great help in the diagnostic of cerebrovascular diseases which are the third most common cause of death in the USA and Europe. Never- theless, SPECT images are very blurred and consequently their in- terpretation is difficult. In order to improve the spatial resolution of these images and then to facilitate their interpretation by the clini- cian, we propose to implement and to compare the effectiveness of different existing "blind" or "supervised" deconvolution methods.