Optimal interpolation in helical scan 3D computerized tomography

Yoram Bresler, Carl J. Skrabacz

Research output: Contribution to journalArticlepeer-review


A data acquisition scheme combining the axial translation of the object with rotation of the imaging gantry is introduced for three-dimensional computerized tomography (CT), and a reconstruction algorithm for its implementation is explored. A computationally attractive interpolation scheme that converts the data to standard CT format and permits reconstruction by existing algorithms is proposed. The approach is to convert by interpolation the helical-scan projection data into standard planar scan format and then use a standard 2-D reconstruction technique, such as convolution backprojection, on each slice. Optimum interpolation coefficients are derived, minimizing a worst case normalized maximum error magnitude criterion. The theoretical predictions are illustrated by simulation results.

Original languageEnglish (US)
Pages (from-to)1472-1475
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 1989

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics


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