Three-dimensional Non-local Edge-preserving Regularization for PET Transmission Reconstruction

@inproceedings{Yu2000ThreedimensionalNE,
  title={Three-dimensional Non-local Edge-preserving Regularization for PET Transmission Reconstruction},
  author={Daniel F. Yu and Jeffrey A. Fessler},
  year={2000}
}
Tomographic image reconstruction using statistical methods can provide more accurate system modeling, statistical models, and physical constraints than the conventional filtered backprojection (FBP) method. Because of the ill-posedness of the reconstruction problem, a roughness penalty is often imposed on the solution. To avoid smoothing of edges, which are important image attributes, various edge-preserving regularization schemes have been proposed. Most of these schemes rely on information… CONTINUE READING
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