202-3834 HAEMATOMA DETECTION USING EIT in a SHEEP MODEL.pdf (341.15 kB)
Haematoma detection using EIT in a sheep model
journal contributionposted on 2014-12-23, 09:24 authored by S. Bentolhoda Ayati, Kaddour Bouazza-Marouf, David KerrDavid Kerr, Michael D. O'Toole
Performance evaluation of a portable digital electrical impedance tomography system to detect haematomas using phantom and sheep models is presented. Experiments have been performed using 8-electrode full array configuration. Conductivity changes were detected in phantom model while anomalies were placed at center and close to the edge of the tank. Bleeding rate was successfully monitored in sheep model while blood-like conductivity solution was injecting via the brainstem. EIT images were reconstructed sequentially for different injection volumes and the quantity index (QI) was calculated as a function of the injected solution volume. The results show a linear relationship of QI to the injected volume. Images of the sheep experiment with the simulated haematomas, blood-like conductivity gel, placed on top of the parietal lobes of the brain on the left and right sides were reconstructed and haematomas are clearly detected and localized. These experiments prove that the detection and quantification of haematomas in the brain is possible and encourage further investigation for medical applications.
- Mechanical, Electrical and Manufacturing Engineering
Published inInternational Journal of Computers and Applications
Pages? - ? (7)
CitationAYATI, S.B. ... et al, 2014. Haematoma detection using EIT in a sheep model. International Journal of Computers and Applications, 36 (3), 7pp.
Publisher© ACTA Press
- SMUR (Submitted Manuscript Under Review)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper was submitted for publication in the journal, International Journal of Computers and Applications. The definitive version is available at: http://dx.doi.org/10.2316/Journal.202.2014.3.202-3834