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MR electrical properties imaging using a generalized image-based method

delete2020-08-11
delete7
PRE
AI
P
Paul Soullié *
A
Alexia Missoffe
K
Khalid Ambarki
J
Jacques Felblinger
F
Freddy Odille
DOI:10.1002/mrm.28458delete
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摘要

摘要

En 中文
Purpose To develop a fast and easy-to-use electrical properties tomography (EPT) method based on a single MR scan, avoiding both the need of a B-1-map and transceive phase assumption, and that is robust against noise. Theory Derived from Maxwell's equations, conductivity, and permittivity are reconstructed from a new partial differential equation involving the product of the RF fields and its derivatives. This also allows us to clarify and revisit the relevance of common assumptions of MREPT. Methods Our new governing equation is solved using a 3D finite-difference scheme and compared to previous frameworks. The benefits of our method over selected existing MREPT methods are demonstrated for different simulation models, as well as for both an inhomogeneous agar phantom gel and in vivo brain data at 3T. Results Simulation and experimental results are illustrated to highlight the merits of the proposed method over existing methods. We show the validity of our algorithm in versatile configurations, with many transition regions notably. Complex admittivity maps are also provided as a complementary MR contrast. Conclusion Because it avoids time-consuming RF field mapping and generalizes the use of standard MR image for electrical properties reconstruction, this contribution is promising as a new step forward for clinical applications.
Keyword:
conductivity
edge artifact
image-based
MREPT
permittivity
ultrashort echo-time (UTE)
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期刊

Magnetic Resonance in Medicine 封面图
Magnetic Resonance in Medicine
IF:
3
论文数:
1.2W
被引数:
3.1W

机构

U
universite de lorraine
学者数:
1.8W
论文数: 1.4W
被引数: 27
I
institut national de la sante et de la recherche medicale (inserm)
学者数:
11.5W
论文数: 7.5W
被引数: 117
引用论文

引用论文

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Characterization of a dielectric phantom for high-field magnetic resonance imaging applications
err2016-11-30
err92
errOAAI
errDuan, Qi; Duyn, Jeff H.; Gudino, Natalia; de Zwart, Jacco A.; van Gelderen, Peter; Sodickson, Daniel K.; Brown, Ryan
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