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Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements

Title
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements
Authors
Maier J.Nitschke M.Choi J.-H.Gold G.Fahrig R.Eskofier B.M.Maier A.
Ewha Authors
최장환
SCOPUS Author ID
최장환scopus
Issue Date
2022
Journal Title
IEEE Transactions on Biomedical Engineering
ISSN
0018-9294JCR Link
Citation
IEEE Transactions on Biomedical Engineering vol. 69, no. 5, pp. 1608 - 1619
Keywords
CT reconstructioninertial measurementsmotion compensationnoisenon-rigid motion
Publisher
IEEE Computer Society
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Objective: Involuntary subject motion is the main source of artifacts in weight-bearing cone-beam CT of the knee. To achieve image quality for clinical diagnosis, the motion needs to be compensated. We propose to use inertial measurement units (IMUs) attached to the leg for motion estimation. Methods: We perform a simulation study using real motion recorded with an optical tracking system. Three IMU-based correction approaches are evaluated, namely rigid motion correction, non-rigid 2D projection deformation and non-rigid 3D dynamic reconstruction. We present an initialization process based on the system geometry. With an IMU noise simulation, we investigate the applicability of the proposed methods in real applications. Results: All proposed IMU-based approaches correct motion at least as good as a state-of-the-art marker-based approach. The structural similarity index and the root mean squared error between motion-free and motion corrected volumes are improved by 24-35% and 78-85%, respectively, compared with the uncorrected case. The noise analysis shows that the noise levels of commercially available IMUs need to be improved by a factor of 105 which is currently only achieved by specialized hardware not robust enough for the application. Conclusion: Our simulation study confirms the feasibility of this novel approach and defines improvements necessary for a real application. Significance: The presented work lays the foundation for IMU-based motion compensation in cone-beam CT of the knee and creates valuable insights for future developments. © 2022 IEEE.
DOI
10.1109/TBME.2021.3123673
Appears in Collections:
인공지능대학 > 인공지능학과 > Journal papers
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