Chord-based image reconstruction in cone-beam CT with a curved detector

Zuo, Nianming, Jiang, Tianzi, Xia, Dan, Zou, Yu and Pan, Xiao-Chuan (2006) Chord-based image reconstruction in cone-beam CT with a curved detector. Medical Physics, 33 10: 3743-3757. doi:10.1118/1.2337270

Author Zuo, Nianming
Jiang, Tianzi
Xia, Dan
Zou, Yu
Pan, Xiao-Chuan
Title Chord-based image reconstruction in cone-beam CT with a curved detector
Journal name Medical Physics   Check publisher's open access policy
ISSN 0094-2405
Publication date 2006-10
Sub-type Article (original research)
DOI 10.1118/1.2337270
Volume 33
Issue 10
Start page 3743
End page 3757
Total pages 15
Place of publication College Park, MD, United States
Publisher American Association of Physicists in Medicine
Language eng
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.
Keyword Computed tomography
Curved detector
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
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Created: Wed, 19 Oct 2011, 14:48:02 EST by Debra McMurtrie on behalf of Queensland Brain Institute