Published July 13, 2015 | Version v1
Journal article

Sub-millimeter resolution electrical conductivity images of brain tissues using magnetic resonance-based electrical impedance tomography

  • 1. Department of Biomedical Engineering, Kyung Hee University, Yongin 446-701 (Korea, Republic of)
  • 2. Department of East-West Medical Science, Kyung Hee University, Yongin 446-701 (Korea, Republic of)
  • 3. Department of Pharmacology, Chung-Ang University, Seoul 156-756 (Korea, Republic of)
  • 4. Department of Mathematics, Konkuk University, Seoul 143-701 (Korea, Republic of)

Description

Recent magnetic resonance (MR)-based electrical impedance tomography (MREIT) of in vivo animal and human subjects enabled the imaging of electromagnetic properties, such as conductivity and permittivity, on tissue structure and function with a few millimeter pixel size. At those resolutions, the conductivity contrast might be sufficient to distinguish different tissue type for certain applications. Since the precise measurement of electrical conductivity under the tissue levels can provide alternative information in a wide range of biomedical applications, it is necessary to develop high-resolution MREIT technique to enhance its availability. In this study, we provide the experimental evaluation of sub-millimeter resolution conductivity imaging method using a 3T MR scanner combined with a multi-echo MR pulse sequence, multi-channel RF coil, and phase optimization method. From the phantom and animal imaging results, sub-millimeter resolution exhibited similar signal-to-noise ratio of MR magnitude and noise levels in magnetic flux density comparing to the existing millimeter resolution. The reconstructed conductivity images at sub-millimeter resolution can distinguish different brain tissues with a pixel size as small as 350 μm

Additional details

Identifiers

Publishing Information

Journal Title
Applied Physics Letters
Journal Volume
107
Journal Issue
2
Journal Page Range
p. 023701-023701.5
ISSN
0003-6951
CODEN
APPLAB

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47053186
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ANIMAL TISSUES; BRAIN; ELECTRIC CONDUCTIVITY; IMAGES; MAGNETIC RESONANCE; NOISE; OPTIMIZATION; PULSES; RESOLUTION; TOMOGRAPHY
Descriptors DEC
BODY; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; ELECTRICAL PROPERTIES; NERVOUS SYSTEM; ORGANS; PHYSICAL PROPERTIES; RESONANCE

Optional Information

Notes
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