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Updated: Apr 3, 2026

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

Published on: February 27, 2011

MR-based conductivity imaging using multiple receiver coils.

Joonsung Lee^1,2, Jaewook Shin², Dong-Hyun Kim²

¹Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Korea.

Magnetic Resonance in Medicine

|September 17, 2015

Summary

This summary is machine-generated.

This study introduces a new signal combination method for magnetic resonance (MR)-based tissue conductivity mapping using standard clinical scanners. The method enhances conductivity map accuracy by reducing artifacts, making MR-based mapping feasible.

Keywords:

MREPT conductivity electrical property imaging phase-based EPT

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

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Published on: December 18, 2016

Area of Science:

Medical Imaging
Biophysics
Electrical Engineering

Background:

Accurate tissue conductivity mapping is crucial for various medical applications, including disease diagnosis and treatment planning.
Current magnetic resonance (MR)-based conductivity mapping methods often suffer from artifacts due to signal combination techniques.
Standard clinical MR scanners with multiple receiver coils offer a potential platform for advanced imaging techniques.

Purpose of the Study:

To propose and validate a novel signal combination method for MR-based tissue conductivity mapping.
To enhance the accuracy and reduce artifacts in conductivity maps generated using standard clinical MR scanners.
To demonstrate the feasibility of the proposed method across different anatomical regions and imaging scenarios.

Main Methods:

Developed a signal combination method utilizing the transceive phase of the combined signal from multiple receiver coils.
Investigated two practical approaches: coil-specific and subject-specific signal combination.
Analyzed the sensitivity of coefficients used in signal combination.
Validated the method using phantom, in vivo brain, and in vivo breast studies with multiple receiver coils.

Main Results:

The proposed method demonstrated conductivity estimates with variations under 15% based on coefficient sensitivity tests.
Compared to existing methods, the proposed signal combination technique significantly reduced artifacts in the resulting conductivity maps.
Successful validation was achieved across diverse phantom and in vivo datasets.

Conclusions:

MR-based tissue conductivity mapping is achievable with standard clinical MR scanners equipped with multiple receiver coils.
The proposed method effectively mitigates systematic errors in phase-based conductivity mapping caused by inhomogeneous receive profiles.
This advancement offers a more reliable approach for quantitative conductivity imaging in clinical settings.