Kunyansky L. A new SPECT reconstruction algorithm based on the Novikovs explicit inversion formula[J]. Inverse Problems, 2001,17:293-306.
[2]
Liu Bing, Wen Junhai, Li Xin, et al. Local SPECT reconstruction with non-uniform attenuation //Proceedings of Bioinformatics and Biomedical Engineering. Shanghai: ICBBE, 2008:2586-2589.
[3]
Wen Junhai, Li Yincen, Wang Wei. The de-noising methods for SPECT reconstruction with non-uniform attenuation based on wavelet transform //Proceedings of Complex Medical Engineering. Beijing: IEEE/ICME, 2007:843-849.
[4]
Sendur Levent, Selesnick Ivan W. Bivariate shrinkage function for wavelet-based denoising exploiting interscale dependency[J]. IEEE Transactions on Signal Processing, 2002,50(11):2744-2756.
[5]
Chamboll A. A nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage[J]. IEEE Trans on Image Processing, 1998,7(3):319-355.
[6]
Elmbt L Van,Walrand S. Simultaneous correction of attenuation and distance-dependent resolution in SPECT: an analytical approach[J]. Physics in Medicine and Biology, 1993,38:207-1217.
[7]
Wen Junhai, Kong Lingkai. A wavelet based method for SPECT reconstruction with non-uniform attenuation[J]. SPIEPhysics of Medical Imaging, 2007,6510:65104.
[8]
Novikov R. An inversion formula for the attenuated X-ray transformation[J].Arkiv fr Matematik, 2002,40(1):145-167.
