ArticleJournal of computational and applied mathematics2021
Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography.
Article in Journal of computational and applied mathematics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Time of Flight Transmission Mode Ultrasound Computed Tomography With Expected Gradient and Boundary Optimization.IEEE transactions on bio-medical engineering · 2025Article
- LUFT: A low-frequency ultrasound tomography system designed for lung imaging.IEEE sensors journal · 2024Article
- Calderón's Method with a Spatial Prior for 2-D EIT Imaging of Ventilation and Perfusion.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
For medical professionals caring for patients undergoing mechanical ventilation due to respiratory failure, the ability to quickly and safely obtain images of pulmonary function at the patient's bedside would be highly desirable. Such images could be used to provide early warnings of developing pulmonary pathologies in real time, thereby reducing the incidence of complications and improving patient outcomes. Electrical impedance tomography (EIT) and low-frequency ultrasound computed tomography (USCT) are two imaging techniques with the potential to provide real-time non-ionizing pulmonary monitoring in the ICU setting, and each method has its own unique advantages as well as drawbacks. In this work, we describe a new algorithm for a system in which the strengths of the two modalities are combined in a complementary fashion. Specifically, preliminary reconstructions from each modality are used as priors to stabilize subsequent reconstructions, providing improved spatial resolution, sharper organ boundaries, and enhanced appearance of pathologies and other features. Results are validated using three numerically simulated thoracic phantoms representing pulmonary pathologies.
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