Torso shape detection to improve lung monitoring

de Gelidi, Serena, Bardill, Andy ORCID logoORCID: https://orcid.org/0000-0002-2451-3260, Wu, Yu, Demosthenous, Andreas, Tizzard, Andrew ORCID logoORCID: https://orcid.org/0000-0002-6159-4901 and Bayford, Richard ORCID logoORCID: https://orcid.org/0000-0001-8863-6385 (2017) Torso shape detection to improve lung monitoring. Proceedings of the 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. In: 18th International Conference on Biomedical Applications of Electrical Impedance Tomography, 21-24 June 2017, Hanover, New Hampshire, USA. . [Conference or Workshop Item] (doi:10.5281/zenodo.557093)

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Abstract

Two methodologies are proposed to detect the patient-specific boundary of the chest, aiming to produce a more accurate forward model for EIT analysis. Thus, a passive resistive and an inertial prototypes were prepared to characterize and reconstruct the shape of multiple phantoms. Preliminary results show how the passive device generates a minimum scatter between the reconstructed image and the actual shape

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
Item ID: 22325
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Depositing User: Richard Bayford
Date Deposited: 03 Aug 2017 14:42
Last Modified: 08 Jun 2022 19:07
URI: https://eprints.mdx.ac.uk/id/eprint/22325

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