Cerebral intraventricular hemorrhage in neonatal human infants is common consequence of pre-term delivery. It is currently assessed using ultrasound, MRI or CT scan. These modalities are not suitable for continuous monitoring of infants and involve large personnel or equipment costs. Because blood has a high electrical resistivity contrast relative to other cranial tissue, it appearance can be detected and monitored using electrical impedance methods. In this proposal, the imaging technique of Electrical Impedance Tomography (EIT) is proposed as a non-invasive, low-cost monitoring alternative to these imaging modalities. EIT has the potential to measure bleeding rate and approximately localize the bleeding site. This proposal involves development of a system for capturing and reconstructing impedance images of the head, and extracting information about bleeding-related impedance changes from background noise. Results gathered from two- and three-dimensional finite element models of the head will be used to test reconstruction methods on a skull model. Noise similar to that expected from in-vivo measurements will be simulated and added to synthetic data to determine the approximate uncertainty in rate estimations. Circuits will be designed and constructed to capture phase-accurate data of resistivity and conductivity inside the head. The circuitry and reconstruction methods will be tested first in a spherical tank model and then on a fetal skull phantom. Sensitivity in the fetal skull phantom to different amounts of added blood will be compared with that found in the spherical tank. Finally, the system will be tested on a neonatal pig model. Piglets will be anesthetized and mechanically ventilated and ECG and ventilation data will be recorded synchronously with EIT data. After monitoring and examining the level of artifact produced by these processes, signals will be collected as blood is transfused into a lateral ventricle. These data will be analyzed to determine the best way of separating artifacts produced by shape changes and other body impedance changes from the bleeding process.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002389-04
Application #
7098879
Study Section
Special Emphasis Panel (ZRG1-SRB (52))
Program Officer
Mclaughlin, Alan Charles
Project Start
2003-09-27
Project End
2008-07-31
Budget Start
2006-08-01
Budget End
2008-07-31
Support Year
4
Fiscal Year
2006
Total Cost
$186,052
Indirect Cost
Name
University of Florida
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
969663814
City
Gainesville
State
FL
Country
United States
Zip Code
32611
Tang, Te; Weiss, Michael D; Borum, Peggy et al. (2016) In vivo quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array. Physiol Meas 37:751-64
Tang, T; Sadleir, R J (2011) Quantification of intraventricular hemorrhage with electrical impedance tomography using a spherical model. Physiol Meas 32:811-21
Pant, Shilpa; Te, Tang; Tucker, Aaron et al. (2011) The conductivity of neonatal piglet skulls. Physiol Meas 32:1275-83
Sadleir, R J; Grant, S C; Woo, E J (2010) Can high-field MREIT be used to directly detect neural activity? Theoretical considerations. Neuroimage 52:205-16
Tang, T; Oh, Sungho; Sadleir, R J (2010) A robust current pattern for the detection of intraventricular hemorrhage in neonates using electrical impedance tomography. Ann Biomed Eng 38:2733-47
Oh, Sungho; Tang, Te; Tucker, A S et al. (2009) Normalization of a spatially variant image reconstruction problem in electrical impedance tomography using system blurring properties. Physiol Meas 30:275-89
Sadleir, R J; Tang, Te (2009) Electrode configurations for detection of intraventricular haemorrhage in the premature neonate. Physiol Meas 30:63-79
Sadleir, Rosalind J; Neralwala, Farida; Te, Tang et al. (2009) A controllably anisotropic conductivity or diffusion phantom constructed from isotropic layers. Ann Biomed Eng 37:2522-31
Sadleir, R J; Tang, Te; Tucker, Aaron S et al. (2009) Detection of intraventricular blood using EIT in a neonatal piglet model. Conf Proc IEEE Eng Med Biol Soc 2009:3169-72
Sadleir, R J; Argibay, A (2007) Modeling skull electrical properties. Ann Biomed Eng 35:1699-712

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