Experimental comparison of three reconstruction algorithms for single-orbit cone beam SPECT

Zongjian Cao, Lawrence E. Holder

Research output: Contribution to conferencePaper

Abstract

This study compared single-orbit cone-beam SPECT reconstructed image quality obtained from the Feldkamp algorithm, the Grangeat algorithm and the nonstationary filtering (NSF) algorithm which we previously developed. Acquired data from two physical phantoms, a 3D Defrise slab phantom and a 3D Hoffman brain phantom, were processed using the three algorithms and the results were compared in terms of image artifacts, noise, and processing time. From the slab phantom data, the three algorithms produced similar artifacts which were related to single-orbit cone-beam geometry. From brain phantom data, the Grangeat algorithm produced additional artifacts and distortions, while the NSF algorithm slightly reduced the cone-beam related artifacts compared to the Feldkamp algorithm. The processing time required by the Grangeat and NSF algorithms were respectively two and four times of that needed by the Feldkamp algorithm. Currently, the Feldkamp algorithm appears the best choice in terms of both image quality and processing time for single-orbit cone-beam SPECT with a cone angle less than 15°C.

Original languageEnglish (US)
Pages1217-1221
Number of pages5
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3) - San Francisco, CA, USA
Duration: Oct 21 1995Oct 28 1995

Other

OtherProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3)
CitySan Francisco, CA, USA
Period10/21/9510/28/95

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

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    Cao, Z., & Holder, L. E. (1995). Experimental comparison of three reconstruction algorithms for single-orbit cone beam SPECT. 1217-1221. Paper presented at Proceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3), San Francisco, CA, USA, .