New methods for SPECT imaging and pre-reconstruction restoration

Abstract

A novel dual single photon emission computerized tomography (SPECT) imaging system equipped with a modular coded aperture and a conventional parallel hole collimator is introduced. An expectation maximization type blind deconvolution algorithm (EMBD) based on maximum likelihood estimation is derived for restoration of SPECT planar projections acquired by the dual imaging system. The uniformly redundant array (URA) technique is used for decoding the shadowgram acquired by the coded aperture camera head. Results of real phantom data are presented. The new configuration of the dual SPECT imaging system considerably improves the count sensitivity while still maintaining (or slightly improving) the conventional resolutions of high resolution collimation. The results also demonstrate the feasibility of the EMBD algorithm in improving image resolution and reducing background noise and non-uniformity artifacts of the decoded images. Thus, the new imaging system associated with the image restoration algorithm may be an advance of low-count nuclear imaging.KeywordsSingle Photon Elmssion Conlputerized TonlographyPoint Spread FunctionSingle Photon Elmssion Conlputerized Tonlography ImagingBlind DeconvolutionBrain Single Photon Elmssion Conlputerized TonlographyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.