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Proceedings Paper

Five-dimensional motion compensation for respiratory and cardiac motion with cone-beam CT of the thorax region
Author(s): Sebastian Sauppe; Andreas Hahn; Marcus Brehm; Pascal Paysan; Dieter Seghers; Marc Kachelrieß
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Paper Abstract

We propose an adapted method of our previously published five-dimensional (5D) motion compensation (MoCo) algorithm1, developed for micro-CT imaging of small animals, to provide for the first time motion artifact-free 5D cone-beam CT (CBCT) images from a conventional flat detector-based CBCT scan of clinical patients. Image quality of retrospectively respiratory- and cardiac-gated volumes from flat detector CBCT scans is deteriorated by severe sparse projection artifacts. These artifacts further complicate motion estimation, as it is required for MoCo image reconstruction. For high quality 5D CBCT images at the same x-ray dose and the same number of projections as todays 3D CBCT we developed a double MoCo approach based on motion vector fields (MVFs) for respiratory and cardiac motion. In a first step our already published four-dimensional (4D) artifact-specific cyclic motion-compensation (acMoCo) approach is applied to compensate for the respiratory patient motion. With this information a cyclic phase-gated deformable heart registration algorithm is applied to the respiratory motion-compensated 4D CBCT data, thus resulting in cardiac MVFs. We apply these MVFs on double-gated images and thereby respiratory and cardiac motion-compensated 5D CBCT images are obtained. Our 5D MoCo approach processing patient data acquired with the TrueBeam 4D CBCT system (Varian Medical Systems). Our double MoCo approach turned out to be very efficient and removed nearly all streak artifacts due to making use of 100% of the projection data for each reconstructed frame. The 5D MoCo patient data show fine details and no motion blurring, even in regions close to the heart where motion is fastest.

Paper Details

Date Published: 22 March 2016
PDF: 9 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97830H (22 March 2016); doi: 10.1117/12.2216266
Show Author Affiliations
Sebastian Sauppe, Deutsches Krebsforschungszentrum (Germany)
Andreas Hahn, Deutsches Krebsforschungszentrum (Germany)
Marcus Brehm, Varian Medical System Imaging Lab. (Switzerland)
Pascal Paysan, Varian Medical System Imaging Lab. (Switzerland)
Dieter Seghers, Varian Medical System Imaging Lab. (Switzerland)
Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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