Multiresolution analysis of emission tomography images in the wavelet domain.

@article{Turkheimer1999MultiresolutionAO,
  title={Multiresolution analysis of emission tomography images in the wavelet domain.},
  author={Federico E. Turkheimer and Matthew Brett and Dimitris Visvikis and Vincent J. Cunningham},
  journal={Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism},
  year={1999},
  volume={19 11},
  pages={1189-208}
}
This article develops a theoretical framework for the use of the wavelet transform in the estimation of emission tomography images. The solution of the problem of estimation addresses the equivalent problems of optimal filtering, maximum compression, and statistical testing. In particular, new theory and algorithms are presented that allow current wavelet methodology to deal with the two main characteristics of nuclear medicine images: low signal-to-noise ratios and correlated noise. The… CONTINUE READING