| HAL-Inria | Publications, software ... of Inria's scientists |
Journal articles
Chord-based image reconstruction in cone-beam CT with a curved detector
Abstract : Modern computed tomography (CT) scanners use cone-beam configurations for increasing volume coverage, improving x-ray-tube utilization, and yielding isotropic spatial resolution. Recently, there have been significant developments in theory and algorithms for exact image reconstruction from cone-beam projections. In particular, algorithms have been proposed for image reconstruction on chords; and advantages over the existing algorithms offered by the chord-based algorithms include the high flexibility of exact image reconstruction for general scanning trajectories and the capability of exact reconstruction of images within a region of interest from truncated data. These chord-based algorithms have been developed only for flat-panel detectors. Many cone-beam CT scanners employ curved detectors for important practical considerations. Therefore, in this work, we have derived chord-based algorithms for a curved detector so that they can be applied to reconstructing images directly from data acquired by use of a CT scanner with a curved detector. We have also conducted preliminary numerical studies to demonstrate and evaluate the reconstruction properties of the derived chord-based algorithms for curved detectors.
https://hal.inria.fr/inria-00123307
Contributor : Chine Publications Liama <>
Submitted on : Tuesday, January 9, 2007 - 12:11:56 PM
Last modification on : Saturday, May 30, 2020 - 11:18:34 AM
Contributor : Chine Publications Liama <>
Submitted on : Tuesday, January 9, 2007 - 12:11:56 PM
Last modification on : Saturday, May 30, 2020 - 11:18:34 AM
Links full text
