A robust current pattern for the detection of intraventricular hemorrhage in neonates using electrical impedance tomography.
We compared two 16-electrode electrical impedance tomography (EIT) current patterns on their ability to reconstruct and quantify small amounts of bleeding inside a neonatal human head using both simulated and phantom data. The current patterns used were an adjacent injection RING pattern (with electrodes located equidistantly on the equator of a sphere) and an EEG current pattern based on the 10-20 EEG electrode layout. Structures mimicking electrically important structures in the infant skull were included in a spherical numerical forward model and their effects on reconstructions were determined. The EEG pattern was found to be a better topology to localize and quantify anomalies within lateral ventricular regions. The RING electrode pattern could not reconstruct anomaly location well, as it could not distinguish different axial positions. The quantification accuracy of the RING pattern was as good as the EEG pattern in noise-free environments. However, the EEG pattern showed better quantification ability than the RING pattern when noise was added. The performance of the EEG pattern improved further with respect to the RING pattern when a fontanel was included in forward models. Significantly better resolution and contrast of reconstructed anomalies was achieved when generated from a model containing such an opening and 50 dB added noise. The EEG method was further applied to reconstruct data from a realistic neonatal head model. Overall, acceptable reconstructions and quantification results were obtained using this model and the homogeneous spherical forward model.
J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
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Sungho
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Sadleir
D002543:Cerebral Hemorrhage / Q000175:diagnosis*; D017097:Electric Impedance; D004566:Electrodes; D004569:Electroencephalography; D006257:Head / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007223:Infant; D007231:Infant, Newborn; D019047:Phantoms, Imaging; D012886:Skull; D014054:Tomography / Q000295:instrumentation*; D014057:Tomography, X-Ray Computed