Torso shape detection to improve lung monitoring
Article
de Gelidi, S., Seifnaraghi, N., Bardill, A., Tizzard, A., Wu, Y., Sorantin, E., Nordebo, S., Demosthenous, A. and Bayford, R. 2018. Torso shape detection to improve lung monitoring. Physiological Measurement. 39 (7). https://doi.org/10.1088/1361-6579/aacc1c
| Type | Article |
|---|---|
| Title | Torso shape detection to improve lung monitoring |
| Authors | de Gelidi, S., Seifnaraghi, N., Bardill, A., Tizzard, A., Wu, Y., Sorantin, E., Nordebo, S., Demosthenous, A. and Bayford, R. |
| Abstract | Newborns with lung immaturity often require continuous monitoring and treatment of their lung ventilation in intensive care units, especially if born preterm. Recent studies indicate that Electrical Impedance Tomography (EIT) is feasible in newborn infants and children, and can quantitatively identify changes in regional lung aeration and ventilation following alterations to respiratory conditions. Information on the patient-specic shape of the torso and its role in minimizing the artefacts in the reconstructed images can improve the accuracy of the clinical parameters obtained from EIT. Currently, only idealized models or those segmented from CT scans are usually adopted. This study presents and compares two methodologies that can detect the patient-specic torso shape by means of wearable devices based on: (1) previously reported bend sensor technology and (2) a novel approach based on the use of accelerometers. The reconstruction of different phantoms, taking into account anatomical asymmetries and different sizes, are produced for comparison. As a result, the accelerometers are more versatile than bend sensors, which cannot be used on bigger cross-sections. The computational study estimates the optimal number of accelerometers required in order to generate an image reconstruction comparable to the use of a CT scan as the forward model. Furthermore, since the patient position is crucial to monitoring lung ventilation, the orientation of the phantoms is automatically detected by the accelerometer-based method. [Abstract copyright: © 2018 Institute of Physics and Engineering in Medicine.] |
| Keywords | Accelerometers, EIT, Orientation, Reconstruction, Shape detection |
| Research Group | Biophysics and Bioengineering group |
| Publisher | Institute of Physics |
| Journal | Physiological Measurement |
| ISSN | 0967-3334 |
| Electronic | 1361-6579 |
| Publication dates | |
| 05 Jul 2018 | |
| Publication process dates | |
| Deposited | 18 Jul 2018 |
| Accepted | 12 Jun 2018 |
| Output status | Published |
| Accepted author manuscript | |
| Copyright Statement | This Accepted Manuscript is © 2018 Institute of Physics and Engineering in Medicine. This is an author-created, un-copyedited version of an article published in Physiological measurement. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-6579/aacc1c. |
| Digital Object Identifier (DOI) | https://doi.org/10.1088/1361-6579/aacc1c |
| Language | English |
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