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Journal articles

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

Nianming Zuo 1 Dan Xia 2 Yu Zou 2 Tianzi Jiang 1 Xiaochuan Pan 2
1 LIAMA - Brain imaging
2 Department of Radiology
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.
Keywords : computed tomography cone-beam curved detector chords image reconstruction noise property
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Journal articles
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Submitted on : Tuesday, January 9, 2007 - 12:11:56 PM
Last modification on : Saturday, October 9, 2021 - 4:09:19 AM

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Nianming Zuo, Dan Xia, Yu Zou, Tianzi Jiang, Xiaochuan Pan. Chord-based image reconstruction in cone-beam CT with a curved detector. Medical Physics, American Association of Physicists in Medicine, 2006, Medical Physics, 33 (10), pp.3743-3757. ⟨10.1118/1.2337270⟩. ⟨inria-00123307⟩

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