Region-of-interest tomography using exponential radial sampling

  title={Region-of-interest tomography using exponential radial sampling},
  author={Berkman Sahiner and Andrew E. Yagle},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  volume={4 8},
The authors combine several ideas, including nonuniform sampling and circular harmonic expansions, into a new procedure for reconstructing a small region of interest (ROI) of an image from a set of its projections that are densely sampled in the ROI and coarsely sampled outside the ROI. Specifically, the radial sampling density of both the projections and the reconstructed image decreases exponentially with increasing distance from the ROI. The problem and data are reminiscent of the recently… CONTINUE READING

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