Wavelet Based De-Noising Methods for Local SPECT Reconstruction

Local reconstruction algorithm has been proposed to reduce the reconstructing time in the single photon emission computer tomography (SPECT). To improve the image quality, it is necessary to de-noise the projection image before reconstruction. Revised biva-shrinkage de-nosing based on wavelet transformation,which has a property of reserving detail information, is used to pre-treat the image. The mean square error (MSE) is adopted to evaluate the de-noising image of local reconstruction. The results show that wavelet based de-noising method is effective in local reconstruction algorithm.