Fusheng You

Correlation Between Structure and Resistivity Variations of the Live Human Skull

A study on correlation between structure and resistivity variations was performed for live adult human skull. The resistivities of 388 skull samples, excised from 48 skull flaps of patients undergoing surgery, were measured at body temperature (36.5degC) using the well-known four-electrode method in the frequency range of 1-4 MHz. According to different structures of the skull samples, all the 388 samples were classified into six categories and measured their resistivities: standard trilayer skull (7943 1752 Omegaldrcm, 58 samples), quasi-trilayer skull (14471 3061 Omegaldrcm, 110 samples), standard compact skull (26546 5374 Omegaldr, 62 samples), quasi-compact skull (19824 3232 Omegaldr, 53 samples), dentate suture skull (5782 1778 Omegaldr, 41 samples), and squamous suture skull (12747 4120 Omegaldr, 64 samples). The results showed that the skull resistivities were not homogenous and were significantly influenced by local structural variations. The presence of sutures appeared to decrease the overall resistivity of particular regions largely and dentate suture decreased the resistivity more than squamous suture. The absence of diploe appeared to increase skull resistivity. The percentage on thickness of diploe would be the primary factor in determining the resistivity of the skull sample without suture. From resistivity spectra results, an inverse relationship between skull resistivity and signal frequency was found.

Modeling the frequency dependence of the electrical properties of the live human skull.

An accurate impedance model of a skull plays an important role in the simulation research on source localization of EEG and brain EIT (electrical impedance tomography), etc. On the basis of the large number of impedance and resistivity data obtained from our previous measurement on the live human skull, in this study we established the equivalent circuit models of six types of skull samples in the 30 Hz-3 MHz frequency range and analyzed the fitting performance of the models. The six types of skull samples are standard tri-layer, quasi-tri-layer, standard compact, quasi-compact, dentate suture and squamous suture. The results showed that the difference of the real part between the CPE (constant phase model) model and the measured data was less than 1% for all skull tissue types when the optimized characteristic parameters (rho(0), rho(infinity), alpha and f(c)) were adopted in the model. It is the first time studying the impedance model of different types of skulls, and it may provide accurate modeling of the skull to improve the accuracy of the related research on bioelectricity of the head and the biological effects of the electromagnetic field.

Real-time Imaging and Detection of Intracranial Haemorrhage by Electrical Impedance Tomography in a Piglet Model

The aim of this study was to use electrical impedance tomography (EIT) to detect and image acute intracranial haemorrhage (ICH) in an animal model. Blood was infused into the frontal lobe of the brains of anaesthetized piglets and impedance was measured using 16 electrodes placed in a circle on the scalp. The EIT images were constructed using a filtered back-projection algorithm. The mean of all the pixel intensities within a region of interest – the mean resistivity value (MRV) – was used to evaluate the relative impedance changes in the target region. A symmetrical index (SI), reflecting the relative impedance on both sides of the brain, was also calculated. Changes in MRV and SI were associated with the injection of blood, demonstrating that EIT can successfully detect ICH in this animal model. The unique features of EIT may be beneficial for diagnosing ICH early in patients after cranial surgery, thereby reducing the risk of complications and mortality.

Pseudo-polar drive patterns for brain electrical impedance tomography.

Brain electrical impedance tomography (EIT) is a difficult task as brain tissues are enclosed by the skull of high resistance and cerebrospinal fluid (CSF) of low resistance, which makes internal resistivity information more difficult to extract. In order to seek a single source drive pattern that is more suitable for brain EIT, we built a more realistic experimental setting that simulates a head with the resistivity of the scalp, skull, CSF and brain, and compared the performance of adjacent, cross, polar and pseudo-polar drive patterns in terms of the boundary voltage dynamic range, independent measurement number, total boundary voltage changes and anti-noise performance based on it. The results demonstrate that the pseudo-polar drive pattern is optimal in all the aspects except for the dynamic range. The polar and cross drive patterns come next, and the adjacent drive pattern is the worst. Therefore, the pseudo-polar drive pattern should be chosen for brain EIT.

An optimized strategy for real-time hemorrhage monitoring with electrical impedance tomography

Delayed detection of an internal hemorrhage may result in serious disabilities and possibly death for a patient. Currently, there are no portable medical imaging instruments that are suitable for long-term monitoring of patients at risk of internal hemorrhage. Electrical impedance tomography (EIT) has the potential to monitor patients continuously as a novel functional image modality and instantly detect the occurrence of an internal hemorrhage. However, the low spatial resolution and high sensitivity to noise of this technique have limited its application in clinics. In addition, due to the circular boundary display mode used in current EIT images, it is difficult for clinicians to identify precisely which organ is bleeding using this technique. The aim of this study was to propose an optimized strategy for EIT reconstruction to promote the use of EIT for clinical studies, which mainly includes the use of anatomically accurate boundary shapes, rapid selection of optimal regularization parameters and image fusion of EIT and computed tomography images. The method was evaluated on retroperitoneal and intraperitoneal bleeding piglet data. Both traditional backprojection images and optimized images among different boundary shapes were reconstructed and compared. The experimental results demonstrated that EIT images with precise anatomical information can be reconstructed in which the image resolution and resistance to noise can be improved effectively.

Induced current electrical impedance tomography system: experimental results and numerical simulations.

In electrical impedance tomography (EIT), measurements of developed surface potentials due to applied currents are used for the reconstruction of the conductivity distribution. Practical implementation of EIT systems is known to be problematic due to the high sensitivity to noise of such systems, leading to a poor imaging quality. In the present study, the performance of an induced current EIT (ICEIT) system, where eddy current is applied using magnetic induction, was studied by comparing the voltage measurements to simulated data, and examining the imaging quality with respect to simulated reconstructions for several phantom configurations. A 3-coil, 32-electrode ICEIT system was built, and an iterative modified Newton-Raphson algorithm was developed for the solution of the inverse problem. The RMS norm between the simulated and the experimental voltages was found to be 0.08 +/- 0.05 mV (<3%). Two regularization methods were implemented and compared: the Marquardt regularization and the Laplacian regularization (a bounded second-derivative regularization). While the Laplacian regularization method was found to be preferred for simulated data, it resulted in distinctive spatial artifacts for measured data. The experimental reconstructed images were found to be indicative of the angular positioning of the conductivity perturbations, though the radial sensitivity was low, especially when using the Marquardt regularization method.

Image reconstruction for Magnetic Induction Tomography and Preliminary simulations on a simple head model

Magnetic Induction Tomography (MIT) of biological tissue is a contactless and noninvasive method to image the complex conductivity distribution or its changes inside a human body. In this paper, 2D (two-dimensional) simulations of the forward problem in MIT are performed by finite element method and an inverse solver based on regularized Newton-Raphson method is developed to reconstruct MIT images from the simulated measuring data. Preliminary MIT simulations on a simple head model are presented. Images can be reconstructed successfully with regularized Newton-Raphson method using the simulated measuring data. The preliminary simulation results show that a better image quality could be obtained by the increase of the number of the coils or the exciting frequencies. And low-conducting skull will exert little influence on the MIT of the brain. Future image reconstruction from real measuring data of physical models is expected and the preliminary simulation results on the brain prove MIT a hopeful and advantageous method on imaging the impedance of the human brain.

Primary Multi-frequency Data Analyze in Electrical Impedance Scanning

This paper deduced the Cole-Cole arc equation in form of admittance by the traditional Cole-Cole equation in form of impedance. Comparing to the latter, the former is more adaptive to the electrical impedance scanning which using lower frequency region. When using our own electrical impedance scanning device at 50-5000 Hz, the measurement data separated on the arc of the former, while collected near the direct current resistor on the arc of the latter. The four parameters of the former can be evaluated by the least square method. The frequency of the imaginary part of admittance reaching maximum can be calculated by the Cole-Cole parameters. In conclusion, the Cole-Cole arc in form of admittance is more effective to multi-frequency data analysis at lower frequency region, like EIS

Preliminary research on monitoring of cerebral ischemia using electrical impedance tomography technique

More than half of the stroke patients are cause by cerebral ischemia/ hypoxia, and it is by no means an easy affairs to detect ischemic tissue when it is rescuable by drug intervention using traditional imaging technique. The purpose of this paper is to testify the feasibility of monitoring cerebral ischemia. By a newly developed high precision data acquisition system and specially configured imaging method, a series of imaging monitoring experiments were performed on 8 Chinese local rabbits, who have been induced with cortical ischemia by photochemical method. This method of induce ischemia was confirmed by histopathological examination. The imaging results show that impedance in target area increased rapidly 7-20 minutes after the beginning of the irradiation during ischemia induce process, and will still change rapidly during and after the induction of ischemia. Unexpected impedance fluctuations were also seen in 6 out of 8 animals during this process. Therefore, EIT monitoring technique proved to be a rapid and sensitive way to detect cerebral ischemia in very earlier stage.

A New Head Phantom With Realistic Shape and Spatially Varying Skull Resistivity Distribution

Brain electrical impedance tomography (EIT) is an emerging method for monitoring brain injuries. To effectively evaluate brain EIT systems and reconstruction algorithms, we have developed a novel head phantom that features realistic anatomy and spatially varying skull resistivity. The head phantom was created with three layers, representing scalp, skull, and brain tissues. The fabrication process entailed 3-D printing of the anatomical geometry for mold creation followed by casting to ensure high geometrical precision and accuracy of the resistivity distribution. We evaluated the accuracy and stability of the phantom. Results showed that the head phantom achieved high geometric accuracy, accurate skull resistivity values, and good stability over time and in the frequency domain. Experimental impedance reconstructions performed using the head phantom and computer simulations were found to be consistent for the same perturbation object. In conclusion, this new phantom could provide a more accurate test platform for brain EIT research.