Literature DB >> 15377120

General reconstruction theory for multislice X-ray computed tomography with a gantry tilt.

Frédéric Noo1, Michel Defrise, Hiroyuki Kudo.   

Abstract

This paper discusses image reconstruction with a tilted gantry in multislice computed tomography (CT) with helical (spiral) data acquisition. The reconstruction problem with gantry tilt is shown to be transformable into the problem of reconstructing a virtual object from multislice CT data with no gantry tilt, for which various algorithms exist in the literature. The virtual object is related to the real object by a simple affine transformation that transforms the tilted helical trajectory of the X-ray source into a nontilted helix, and the real object can be computed from the virtual object using one-dimensional interpolation. However, the interpolation may be skipped since the reconstruction of the virtual object on a Cartesian grid provides directly nondistorted images of the real object on slices parallel to the tilted plane of the gantry. The theory is first presented without any specification of the detector geometry, then applied to the curved detector geometry of third-generation CT scanners with the use of Katsevich's formula for example. Results from computer-simulated data of the FORBILD thorax phantom are given in support of the theory.

Mesh:

Year:  2004        PMID: 15377120     DOI: 10.1109/TMI.2004.829337

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  2 in total

1.  Backprojection-filtration reconstruction without invoking a spatially varying weighting factor.

Authors:  Dan Xia; Seungryong Cho; Xiaochuan Pan
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Simulation tools for two-dimensional experiments in x-ray computed tomography using the FORBILD head phantom.

Authors:  Zhicong Yu; Frédéric Noo; Frank Dennerlein; Adam Wunderlich; Günter Lauritsch; Joachim Hornegger
Journal:  Phys Med Biol       Date:  2012-06-20       Impact factor: 3.609

  2 in total

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