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Registration-based Reconstruction of Four-dimensional Cone Beam Computed Tomography

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Authors:
  • Christoffersen, Christian ;
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    Department of Computer Science, Science and Technology, Aarhus University
  • Hansen, David Christoffer ;
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    Department of Clinical Medicine - Department of Medical Physics, Department of Clinical Medicine, Health, Aarhus University
  • Poulsen, Per Rugaard ;
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    Department of Clinical Medicine - The Department of Oncology, Department of Clinical Medicine, Health, Aarhus University
  • Sørensen, Thomas Sangild
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    Orcid logo0000-0002-8482-7667
    Department of Computer Science, Science and Technology, Aarhus University
DOI:
10.1109/TMI.2013.2272882
Abstract:
We present a new method for reconstruction of four-dimensional (4D) cone beam computed tomography from an undersampled set of X-ray projections. The novelty of the proposed method lies in utilizing optical flow based registration to facilitate that each temporal phase is reconstructed from the full set of acquired projections. The reconstruction of each phase thus exhibits limited aliasing despite significant intra-phase undersampling. The method is fully self-contained. Initially an approximate 4D volume is reconstructed and an inter-phase registration based hereon. A subsequent reconstruction pass integrates the optical flow estimation in a cost function formulation in which the Xray projections from all temporal phases are considered for the reconstruction of each individual phase. Quantitative and qualitative evaluations were performed through reconstruction of both a numerical phantom and a clinical dataset. The obtained reconstructions are compared to the state-of-the-art alternatives of total variation regularization and prior image constrained compressed sensing. Our studies show that the proposed method is the better overall “compromise” in the depiction of both moving and stationary anatomical structures.
Type:
Journal article
Language:
English
Published in:
I E E E Transactions on Medical Imaging, 2013, Vol 32, Issue 11, p. 2064-2077
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2013
Scientific Level:
Scientific
ID:
254621601

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