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Related Experiment Videos

Alternatives to voxels for image representation in iterative reconstruction algorithms.

R M Lewitt1

  • 1Department of Radiology, University of Pennsylvania, Philadelphia 19104-6021.

Physics in Medicine and Biology
|March 1, 1992
PubMed
Summary

This study introduces spherical volume elements as a smoother alternative to voxels for computer image construction. These elements enable efficient projection calculations crucial for iterative image reconstruction algorithms.

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Area of Science:

  • Computer vision
  • Image processing
  • Medical imaging

Background:

  • Conventional volume images use discontinuous voxels.
  • Iterative algorithms for image reconstruction require efficient projection calculations.

Purpose of the Study:

  • To introduce spherically symmetric volume elements as an alternative to voxels.
  • To demonstrate how these elements improve image representation and projection calculations for iterative reconstruction.

Main Methods:

  • Describing a two-parameter family of spherical volume elements.
  • Analyzing the rotational symmetry for efficient projection calculations.
  • Investigating ellipsoidal volume elements and image space transformations.

Main Results:

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  • Spherical elements offer controllable smoothness properties, unlike discontinuous voxels.
  • Rotational symmetry of spherical elements allows for efficient projection calculations.
  • Ellipsoidal elements can also enable efficient projections via image space transformation.

Conclusions:

  • Spherical volume elements provide a smoother, more efficient approach to volume image representation and reconstruction.
  • The described elements and transformations are beneficial for iterative image reconstruction algorithms.