Speaker
Description
There are limited or no tools for real-time imaging indicating the pulmonary function in patients going through mechanical ventilation because of respiratory failure. A bedside imaging system allows visualising the lung in real-time cab be lifesaving. Real-time images could provide early warnings of developing pulmonary pathologies in real-time, thereby reducing the incidence of complications and improving patient outcomes. A low-frequency ultrasound computed tomography (USCT) is an imaging technique with the potential to provide real-time non-ionising pulmonary monitoring in the ICU setting. In this presentation, we show the results of a new phantom study with a 32-senor array of USCT sensors in two rings of 16 sensors allowing for real-time 3D imaging of air volume in a simple lung phantom. Lung USCT application is dynamical imaging, so many transducers generally used in other medical applications of USCT may provide challenges in data collection and image reconstruction. However, the proposed USCT system is both low and computationally cost-effective, making it a good candidate for bedside imaging. We provide results of air volume reconstruction using a multi-modality USCT dynamical reconstruction algorithm.
| Preferred Contribution Type | Presentation |
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