Unberath M, Aichert A, Achenbach S, Maier A (2017)
Publication Type: Journal article
Publication year: 2017
Publisher: John Wiley and Sons Ltd.
Book Volume: 44
Pages Range: e113-e124
DOI: 10.1002/mp.12021
Purpose: Rotational coronary angiography enables 3D reconstruction but suffers from intra-scan cardiac and respiratory motion. While gating handles cardiac motion, respiratory motion requires compensation. State-of-the-art algorithms rely on 3D-2D registration that depends on initial reconstructions of sufficient quality. We propose a compensation method that is applied directly in projection domain. It overcomes the need for reconstruction and thus complements the state-of-the-art. Methods: Virtual single-frame background subtraction based on vessel segmentation and spectral deconvolution yields non-truncated images of the contrasted lumen. This allows motion compensation based on data consistency conditions. We compensate craniocaudal shifts by optimizing epipolar consistency to (a) devise an image-based surrogate for cardiac motion and (b) compensate for respiratory motion. We validate our approach in two numerical phantom studies and three clinical cases. Results: Correlation of the image-based surrogate for cardiac motion with the ECG-based ground truth was excellent yielding a Pearson correlation of 0.93 ± 0.04. Considering motion compensation, the target error measure decreased by 98% and 69%, respectively, for the phantom experiments while for the clinical cases the same figure of merit improved by 46 ± 21%. Conclusions: The proposed method is entirely image-based and accurately estimates craniocaudal shifts due to respiration and cardiac contraction. Future work will investigate experimental trajectories and possibilities for simplification of the single-frame subtraction pipeline.
APA:
Unberath, M., Aichert, A., Achenbach, S., & Maier, A. (2017). Consistency-based Respiratory Motion Estimation in Rotational Angiography. Medical Physics, 44, e113-e124. https://doi.org/10.1002/mp.12021
MLA:
Unberath, Mathias, et al. "Consistency-based Respiratory Motion Estimation in Rotational Angiography." Medical Physics 44 (2017): e113-e124.
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