Reconstruction algorithm for wide cone beam helical CT

Alexander A. Zamyatin, Katsuyuki Taguchi, Michael D. Silver

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In practice cone beam CT reconstruction is often done using the approximate Feldkamp-type algorithms because of their flexibility and simplicity; however, when it comes to a 64- and higher detector row CT, they produce cone beam artifacts, and for 256+ detector-row CT image quality becomes unacceptable. The exact algorithms, on the other hand, produce artifact-free images but are much more computationally demanding and not very flexible in controlling noise/resolution trade-off. We propose a cone beam algorithm that can be easily adjusted depending on the cone angle. We tested it on 64-slice real data and 320-slice simulated data. For 64-slice CT it outperforms helical Feldkamp in both image quality and volume reconstruction speed; using the same redundancy weighting it reduces the cone beam artifact and improves noise uniformity. Because weighting is done after the convolution step, we can use the n-PI Tam-Danielson window, an exact cone beam weighting. We show that the weighting is more important than the filtering direction for image quality. The proposed method has good image quality without rebinning to tangential filtering lines. In evaluation we compare the proposed algorithm to helical Feldkamp and the 1-PI and 3-PI Katsevich algorithms.

Original languageEnglish (US)
Title of host publication2005 IEEE Nuclear Science Symposium Conference Record -Nuclear Science Symposium and Medical Imaging Conference
Number of pages5
StatePublished - Dec 1 2005
EventNuclear Science Symposium Conference Record, 2005 IEEE - , Puerto Rico
Duration: Oct 23 2005Oct 29 2005

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863


OtherNuclear Science Symposium Conference Record, 2005 IEEE
Country/TerritoryPuerto Rico

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging


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