Human Brain Phantom Modeling Based on Relative Permittivity Dielectric Properties

• Main Authors: Chew, Kim Mey, Rubita, Sudirman, Norhudah, Seman, Yong, Ching Yee
• Format: Proceeding
• Language: English
• Published: 2012
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/45896/1/P9.%20Human%20Brain%20Phantom%20Modeling%20Based%20on%20Relative%20Permittivity%20Dielectric%20Properties.pdf; http://ir.unimas.my/id/eprint/45896/; https://ieeexplore.ieee.org/document/6245246

This study aims to investigate the clinical outcomes of human brain dielectric properties in order to build a human-like brain phantom using simple material. This artificial intelligence human brain was developed according to the dielectric properties of a real human brain. The regions cover grey matter and white matter tissues. Elements used for phantom building demonstrate adequate internal consistency of er (relative permittivity) within 60-80 for a range of frequency from 1-6 GHz. A surprisingly finding, quantity of element sugar is the main reason of affecting the permittivity. The findings give a big step closer for building an artificial human brain without defect.