Average Subtraction Method for Image Reconstruction of Brain using ECVT for Tumor Detection
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 inves...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2020-11-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/4325 |
| Summary: | 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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| ISSN: | 2086-9614 2087-2100 |