Brain tumor detection using electrical capacitance volume tomography (ECVT)

Taruno, Warsito P.; Baidillah, Marlin Ramadhan; Sulaiman, Rommy I.; Ihsan, Muhammad; Yusuf, Arbai; Widada, Wahyu; Aljohani, Muhammad

doi:10.1109/ner.2013.6696041

Cited by 9 publications

(8 citation statements)

References 8 publications

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“…In referring to Taruno et al (2013b) to determine the presence of brain tumors from the results of the conventional method, tumor can be detected by the presence of a relatively weak electrical activity zone on the cortical area in the Brain ECVT image. To show the difference between normal and abnormal subjects (i.e., those with and without a brain tumor), it has been proven that there are significant differences.…”

Section: Resultsmentioning

confidence: 99%

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Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection

Maharani¹,

Edison²,

Ihsan³

et al. 2020

IJTech

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Brain Electrical Capacitance Volume Tomography (Brain ECVT) is a new technique that realizes real-time volumetric imaging of dynamic changes in electrical activity of the brain and allows total interrogation of the whole volume inside a helmet-shaped sensor. The technique has been used for investigating numerous brain functional abnormalities, including brain tumors, based on permittivity different from the tumor case, as compared to the normal brain. However, interpretation of the conventional Brain ECVT image is not practical for clinical purposes, as the image resolutions are high in the cortical area and lower in the middle region. The technique provides relatively good sensitivity when the tumor is located near the cortex. In this study, we developed a novel method, namely the average subtraction technique, to process the reconstructed image of the brain obtained by Brain ECVT. The technique generates a three-dimensional intracranial distribution of permittivity that correlates with the electrical activity map of the brain with improved resolution in the center region of the brain. The technique provides better insight into brain intracranial electrical activity, which is quite distinctive when there is tumor development inside the brain. The technique may lead to better detection of brain tumors inside the brain based on the electrical activity scan.

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Section: Resultsmentioning

confidence: 99%

“…Generally, an abnormal mass in the brain may cause propagation signals that reach the cortex of the brain. Furthermore, the phenomenon named "brain signal death" will decrease the signals detected by the ECVT sensor (Taruno et al, 2013b) producing specific image construction. However, interpreting such images is not yet practical.…”

Section: Introductionmentioning

confidence: 99%

Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection

Maharani¹,

Edison²,

Ihsan³

et al. 2020

IJTech

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“…Currenly, ECVT is not only being utilized in process tomography but also for medical tomography [9,10]. Edawar Technology have developed and implemented ECVT for breast and brain tomography.…”

Section: Ecvt Componentmentioning

confidence: 99%

“…The basic forward problem of ECVT, the same as defined for ECT, is the capacitance measurement process that follows the Poisson equation that can be represented in a 3-dimensional space as in Eq. (1) [2,9,11]:…”

Section: Forward Problemmentioning

confidence: 99%

Electrical Capacitance Volume Tomography Static Imaging by Non-Optimized Compressive Sensing Framework

2016

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Electrical capacitance volume tomography is a volumetric tomography technique that utilizes capacitance and fringing to capture behavior or perturbation in the sensing domain. One of the crucial issues in developing ECVT technology is the reconstruction algorithm. In practice, ILBP is most used due to its simplicity. However, it still presents elongation errors for certain dielectric contrasts. The high undersampling measurement of the ECVT imaging system, which is mathematically defined as an undetermined linear system, is one of the most challenging issues. Compressive sensing (CS) is a framework that enables the recovery of a sparse signal or a signal that can be represented as sparse in a certain domain, by having a lower dimension of measurement data compared to the Shanon-Nyquist theorem. Thus, mathematically, this framework is promising for solving an undetermined linear system such as the ECVT imaging system. This paper discusses the possibility of developing an ECVT imaging technique for static objects based on a CS framework. Based on the simulation results, Non-optimized CS does not completely succeed in providing better ECVT imaging quality. However, it does provide more localized imaging compared to ILBP. In addition, by having fewer requirements for the measurement data dimension, the CS framework is promising for reducing the number of required electrodes.

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“…There are also studies on the use of capacitive sensors to detect intracranial tumors and other foreign bodies. To the best knowledge of the authors, all of these studies have not progressed beyond the phase of examining the physical model ( Taruno et al, 2013 ; Ibrahim et al, 2017 ). This paper attempts to use parallel plate capacitor to detect intracerebral hemorrhage, which is also the first attempt of animal experiment.…”

Section: Introductionmentioning

confidence: 99%

Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor

Zhuang

Chen

et al. 2021

PeerJ

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Intracranial hemorrhage (ICH) carrying extremely high morbidity and mortality can only be detected by CT, MRI and other large equipment, which do not meet the requirements for bedside continuous monitoring and pre-hospital first aid. Since the biological tissues have different dielectric properties except the pure resistances, and the permittivity of blood is far larger than that of other brain tissues, here a new method was used to detect events of change at the blood/tissue volume ratio by measuring of the head permittivity. In this paper, we use a self-made parallel plate capacitor to detect the intracranial hemorrhage in rabbits by contactless capacitance measurement. The sensitivity of the parallel-plate capacitor was also evaluated by the physical solution measurement. The results of physical experiments show that the capacitor can distinguish between three solutions with different permittivity, and the capacitance increased with the increase of one solution between two plates. At the next step in the animal experiment, the capacitance changes caused by 2 ml blood injection into the rabbit brain were measured. The results of animal experiments show that the capacitance was almost unchanged before and after the blood injection, but increased with the increase of the blood injection volume. The increase of capacitance caused by blood injection was much larger than that before and after blood injection (P < 0.01). The experiments show that this method is feasible for the detection of intracranial hemorrhage in a non-invasive and contactless manner.

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Brain tumor detection using electrical capacitance volume tomography (ECVT)

Cited by 9 publications

References 8 publications

Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection

Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection

Electrical Capacitance Volume Tomography Static Imaging by Non-Optimized Compressive Sensing Framework

Research on the measurement of intracranial hemorrhage in rabbits by a parallel-plate capacitor

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