General surface reconstruction for cone-beam multislice spiral computed tomography

Laigao Chen, Yun Liang, Dominic J. Heuscher

Research output: Contribution to journalArticle

9 Scopus citations


A new family of cone-beam reconstruction algorithm, the General Surface Reconstruction (GSR), is proposed and formulated in this paper for multislice spiral computed tomography (CT) reconstructions. It provides a general framework to allow the reconstruction of planar or nonplanar surfaces on a set of rebinned short-scan parallel beam projection data. An iterative surface formation method is proposed as an example to show the possibility to form nonplanar reconstruction surfaces to minimize the adverse effect between the collected cone-beam beaim projection data and the reconstruction surfaces. The improvement in accuracy of the nonplanar surfaces over planar surfaces in the two-dimensional approximate cone-beam reconstructions is mathematically proved and demonstrated using numerical simulations. The proposed GSR algorithm is evaluated by the computer simulation of cone-beam spiral scanning geometry and various mathematical phantoms. The results demonstrate that the GSR algorithm generates much better image quality compared to conventional multislice reconstruction algorithms. For a table speed up to 100 mm per rotation, GSR demonstrates good image quality for both the low-contrast ball phantom and thorax phantom. All other performance parameters are comparable to the single-slice 180° LI (linear interpolation) algorithm, which is considered the "gold standard." GSR also achieves high computing efficiency and good temporal resolution, making it an attractive alternative for the reconstruction of next generation multislice spiral CT data.

Original languageEnglish (US)
Pages (from-to)2804-2821
Number of pages18
JournalMedical physics
Issue number10
StatePublished - Oct 1 2003


  • 3D reconstruction
  • Computed tomography
  • Cone-beam CT
  • Multislice CT
  • Spiral CT

ASJC Scopus subject areas

  • Biophysics

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