ArticleIEEE transactions on medical imaging2017
Frequency-Selective Computed Tomography: Applications During Periodic Thoracic Motion.
Article in IEEE transactions on medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography.Intensive care medicine experimental · 2026Review
- Optimising 4D imaging of fast-oscillating structures using X-ray microtomography with retrospective gating.Scientific reports · 2024Article
- Imaging the Lung in ARDS: A Primer.Respiratory care · 2024Review
- Assessment of Heterogeneity in Lung Structure and Function During Mechanical Ventilation: A Review of Methodologies.Journal of engineering and science in medical diagnostics and therapy · 2022Review
- Regional Gas Transport During Conventional and Oscillatory Ventilation Assessed by Xenon-Enhanced Computed Tomography.Annals of biomedical engineering · 2021Article
- Effects of Lung Injury on Regional Aeration and Expiratory Time Constants: Insights From Four-Dimensional Computed Tomography Image Registration.Frontiers in physiology · 2021Article
- Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species.Medical image analysis · 2020Article
- Quantifying Regional Lung Deformation Using Four-Dimensional Computed Tomography: A Comparison of Conventional and Oscillatory Ventilation.Frontiers in physiology · 2020Article
- Imaging the Injured Lung: Mechanisms of Action and Clinical Use.Anesthesiology · 2019Review
- Parenchymal strain heterogeneity during oscillatory ventilation: why two frequencies are better than one.Journal of applied physiology (Bethesda, Md. : 1985) · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We seek to use computed tomography (CT) to characterize regional lung parenchymal deformation during high-frequency and multi-frequency oscillatory ventilation. Periodic motion of thoracic structures results in artifacts of CT images obtained by standard reconstruction algorithms, especially for frequencies exceeding that of the X-ray source rotation. In this paper, we propose an acquisition and reconstruction technique for high-resolution imaging of the thorax during periodic motion. Our technique relies on phase-binning projections according to the frequency of subject motion relative to the scanner rotation, prior to volumetric reconstruction. The mathematical theory and limitations of the proposed technique are presented, and then validated in a simulated phantom as well as a living porcine subject during oscillatory ventilation. The 4-D image sequences obtained using this frequency-selective reconstruction technique yielded high-spatio-temporal resolution of the thorax during periodic motion. We conclude that the frequency-based selection of CT projections is ideal for characterizing dynamic deformations of thoracic structures that are ordinarily obscured by motion artifact using conventional reconstruction techniques.
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Registered trials
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