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. 2017 Mar 31;12:63. doi: 10.1186/s13014-017-0797-9

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 7 — reconstructed phantom motion from 4DCT images sorted by using amplitude-based binning criteria with optical (OTS-4DCT) and Anzai (Anzai-4DCT) motion data. Coronal image cuts are shown in the left panel for the two worst cases (45% Inhale – 100% Exhale) using the red-to-green color map to show the difference of pixel intensities [Hounsfield Units - HU] in OTS-4DCT with respect to the Anzai-4DCT. The best case “0% inhale” is shown for comparison. In the right panel the motion trajectories derived from the two 4DCT dataset are compared with the nominal phantom position in the entire breathing cycle