Backprojection-filtration reconstruction for helical cone-beam CT with curved detectors

Nianming Zuo, Dan Xia, Emil Y. Sidky, Lifeng Yu, Yu Zou, Xiaochuan Pan, Tianzi Jiang

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


Helical CT scanners with multi-row detectors have gained wide popularity in clinics. With increasing interest in extending the number of detector rows, the cone angle must be accounted for in image reconstruction algorithms. As the cone angle increases, artifacts in reconstructed images caused by approximate algorithms, such as the widely used FDK-based algorithms [1], become more of a factor that degrades the image quality. Recently, a novel reconstruction algorithm for helical cone-beam CT (CB-CT) has been proposed [2], [3], which is referred to as the backprojection-filtration algorithm. This algorithm requires theoretically minimum data to reconstruct a volume image. The original BPF algorithm was presented by assuming a flat-panel detector. However, most current multi-row detectors employed in clinic CT scanners are curved detectors. In this work, we modify the backprojection-filtration (BPF) algorithm to allow for reconstruction from data collected with a curved detector. We perform simulation studies using the Shepp-Logan phantom to evaluate the modified BPF algorithm.

Original languageEnglish (US)
Title of host publication2005 IEEE Nuclear Science Symposium Conference Record -Nuclear Science Symposium and Medical Imaging Conference
Number of pages4
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


  • Backprojection-filtration
  • Computed tomography (CT)
  • Curved detector
  • Image reconstruction

ASJC Scopus subject areas

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


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