Monitoring brain damage using bioimpedance technique in a 3D numerical model of the head

Cohen, Rotem; Abboud, Shimon; Arad, Marina

doi:10.1016/j.medengphy.2015.02.011

Cited by 12 publications

(7 citation statements)

References 34 publications

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“…Clinical results specifically confirmed that there exists a statistically significant (P < 0.05) larger potential difference in the scalp potential distribution of patients suffering acute/subacute ICH than the controls, which, unlike simulated results, can be measured relatively fast (<1 h). Although these results are in agreement with the results from other numerical and experimental studies, 32,34,35,37,45,46 unlike previous experimental studies using stroke lesions from the chronic phase, i.e., lesions over a month old, 34,35,45 we obtained EIS recordings from patients in the acute and subacute phases, i.e., lesions less than five days old, to demonstrate the potential usefulness of EBI for the prehospital triage of patients suffering acute/subacute brain injury.…”

Section: Discussionsupporting

confidence: 89%

“…Despite the limitations of the study, like the low statistical power, the obtained results agree with previous bioimpedance-related studies. 32,34,35,37,45,46 The results indicate that a hemorrhagic brain lesion generates spatial changes in voltage, which can be recorded directly on scalp, thus supporting this type of bioimpedance technology for potential early detection of brain ICH.…”

Section: Discussionmentioning

confidence: 59%

“…36 Unfortunately, previous quantitative studies have been based on simple models and not supported by human bioimpedance measurements. 32,37 Experimental studies have also been limited to the chronic phase of the stroke that is not relevant to the ultimate goal of bioimpedance technology for detecting acute/subacute ICH. 34 In this study, 3D accurate finite elements method (FEM) …”

Section: Introductionmentioning

confidence: 99%

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Intracranial hemorrhage alters scalp potential distribution in bioimpedance cerebral monitoring: Preliminary results from FEM simulation on a realistic head model and human subjects

et al. 2016

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Purpose: Current diagnostic neuroimaging for detection of intracranial hemorrhage (ICH) is limited to fixed scanners requiring patient transport and extensive infrastructure support. ICH diagnosis would therefore benefit from a portable diagnostic technology, such as electrical bioimpedance (EBI). Through simulations and patient observation, the authors assessed the influence of unilateral ICH hematomas on quasisymmetric scalp potential distributions in order to establish the feasibility of EBI technology as a potential tool for early diagnosis. Methods: Finite element method (FEM) simulations and experimental left-right hemispheric scalp potential differences of healthy and damaged brains were compared with respect to the asymmetry caused by ICH lesions on quasisymmetric scalp potential distributions. In numerical simulations, this asymmetry was measured at 25 kHz and visualized on the scalp as the normalized potential difference between the healthy and ICH damaged models. Proof-of-concept simulations were extended in a pilot study of experimental scalp potential measurements recorded between 0 and 50 kHz with the authors' custom-made bioimpedance spectrometer. Mean left-right scalp potential differences recorded from the frontal, central, and parietal brain regions of ten healthy control and six patients suffering from acute/subacute ICH were compared. The observed differences were measured at the 5% level of significance using the two-sample Welch ttest. Results: The 3D-anatomically accurate FEM simulations showed that the normalized scalp potential difference between the damaged and healthy brain models is zero everywhere on the head surface, except in the vicinity of the lesion, where it can vary up to 5%. The authors' preliminary experimental results also confirmed that the left-right scalp potential difference in patients with ICH (e.g., 64 mV) is significantly larger than in healthy subjects (e.g., 20.8 mV; P < 0.05). Conclusions: Realistic, proof-of-concept simulations confirmed that ICH affects quasisymmetric scalp potential distributions. Pilot clinical observations with the authors' custom-made bioimpedance spectrometer also showed higher left-right potential differences in the presence of ICH, similar to those of their simulations, that may help to distinguish healthy subjects from ICH patients. Although these pilot clinical observations are in agreement with the computer simulations, the small sample size of this study lacks statistical power to exclude the influence of other possible confounders such

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

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Intracranial hemorrhage alters scalp potential distribution in bioimpedance cerebral monitoring: Preliminary results from FEM simulation on a realistic head model and human subjects

et al. 2016

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“…Several modalities of bioimpedance technique use only the forward solution and do not image the spatial distribution within the human body [10][11][12][13][14]. By solving the diffusion equation for current injection between a single frequency source (transmitting electrodes) and a detector (receiving electrodes) for a welldefined medium, it is possible to study the effect of the medium properties and geometry on the developed potentials [15,16]. For a given set of current sources and a volume of known electrical properties, a map of developed potential distribution can be achieved by solving the forward problem according to Gauss law [17][18][19][20][21][22][23][24].…”

Section: Bio Impedance Techniquesmentioning

confidence: 99%

Home monitoring of bone density in the wrist—a parametric EIT computer modeling study

Ron

Abboud

Arad

2016

Biomed. Phys. Eng. Express

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Goal. The purpose of this computer modeling study is to validate the feasibility of a home monitoring system for wrist bone mineral density (BMD) measurement which is based on the parametric electrical impedance tomography (pEIT) method. Methods. A solution to the forward problem of the developing potential around the wrist due to current injection was developed using a Matlab numerical simulation of an adult computer human phantom. The backward problem is solved by building a lookup table of different bone densities which represent different disease stages. Results. The real part of the complex potential exhibits an average change of 30.7%-12% (between the most sensitive and the least sensitive electrodes) per BMD decrease of 23%. A 2 times higher sensitivity to a deterioration of the cortical bone than of the trabecular bone alone was found. A signal to noise ratio (SNR) level above 30 dB is required for a maximal performance of the system. The robustness to a deposition of the electrodes array in different directions is limited. Conclusion. It was found that the cortical BMD changes govern the model. The required SNR level is within the specs of similar systems. In a real device, the issue of sensors repositioning should be addressed. The proposed pEIT system makes self-monitoring of wrist BMD possible. It brings an added-value by enabling the monitoring of BMD between treatments and between traditional DEXA screenings.

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“…Meanwhile, in order to improve the calculation speed, the model construction should simplify the craniocerebral partition structure and the capillary position as much as possible. In the present study, simulating the human head from the earliest simple spherical models [4] to multilayer concentric sphere models, and real brain models in recent years [5] , it can not only calculate the electromagnetic characteristics of the brain, but also be used to monitor brain injury [6] . In recent years, Hawthorne Christopher [7] et al and the research group of Institute of Instrumental Science and Electrical Engineering of Jilin University [8] have studied the cerebral blood flow from the aspects of intracranial pressure bioimpedance measurement and noninvasive measurement of cerebral blood flow, respectively.…”

Section: Introductionmentioning

confidence: 99%

Modeling of intracranial vessels and Simulation of cerebral blood flow

Yan

et al. 2020

E3S Web Conf.

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The stable regulation of cerebral blood flow plays an important role in the normal operation of brain function. The disturbance of cerebral blood flow automatic regulation will lead to brain injury and lead to cerebrovascular disease. Therefore, it is of practical clinical significance to study the fine modeling of intracranial blood vessels. First of all, based on the anatomic structure of the intracranial blood vessels, the above sagittal sinus vein, sigmoid sinus, superior petrosal sinus, transverse sinus and cerebral arterial circle were mainly modeled, the three-dimensional model of cerebral blood flow is constructed. Secondly, the three-dimensional model is given conductivity characteristics. Through the expansion and contraction of cerebral blood vessels to simulate the self-regulation of cerebral blood flow, the simulation method of cerebral blood flow impedance is studied. When the blood flow changes, the brain impedance is calculated. The simulation data shows that the change trend of the electric potential and the whole brain impedance of the outer layer of the brain is consistent with the theoretical analysis. The experimental results show that the impedance curves and changes calculated by the brain model in this study are consistent with the measured impedance results, which shows that the modeling method in this paper is precise and effective, and provides a theoretical basis for further study of cerebral blood flow problems.

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Monitoring brain damage using bioimpedance technique in a 3D numerical model of the head

Cited by 12 publications

References 34 publications

Intracranial hemorrhage alters scalp potential distribution in bioimpedance cerebral monitoring: Preliminary results from FEM simulation on a realistic head model and human subjects

Intracranial hemorrhage alters scalp potential distribution in bioimpedance cerebral monitoring: Preliminary results from FEM simulation on a realistic head model and human subjects

Home monitoring of bone density in the wrist—a parametric EIT computer modeling study

Modeling of intracranial vessels and Simulation of cerebral blood flow

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