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Extracellular electrical conductivity property imaging by decomposition of high-frequency conductivity at Larmor-frequency using multi-b-value diffusion-weighted imaging
被引:7
作者:
Lee, Mun
[1
]
Jahng, Geon-Ho
[2
]
Kim, Hyung Joong
[3
]
Woo, Eung Je
[3
]
Kwon, Oh In
[1
]
机构:
[1] Konkuk Univ, Dept Math, Seoul, South Korea
[2] Kyung Hee Univ, Kyung Hee Univ Hosp Gangdong, Coll Med, Dept Radiol, Seoul, South Korea
[3] Kyung Hee Univ, Dept Biomed Engn, Seoul, South Korea
来源:
PLOS ONE
|
2020年
/
15卷
/
04期
关键词:
CURRENT-DENSITY;
ONE-COMPONENT;
HUMAN BRAIN;
MRI;
TISSUE;
MREIT;
PERFUSION;
D O I:
10.1371/journal.pone.0230903
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Magnetic resonance electrical properties tomography (MREPT) uses the B1 mapping technique to provide the high-frequency conductivity distribution at Larmor frequency that simultaneously reflects the intracellular and extracellular effects. In biological tissues, the electrical conductivity can be described as the concentration and mobility of charge carriers. For the water molecule diffusivity, diffusion weighted imaging (DWI) measures the random Brownian motion of water molecules within biological tissues. The DWI data can quantitatively access the mobility of microscopic water molecules within biological tissues. By measuring multi-b-value DWI data and the recovered high-frequency conductivity at Larmor frequency, we propose a new method to decompose the conductivity into the total ion concentration and mobility in the extracellular space (ECS) within a routinely applicable MR scan time. Using the measured multi-b-value DWI data, a constrained compartment model is designed to estimate the extracellular volume fraction and extracellular mean diffusivity. With the extracted extracellular volume fraction and water molecule diffusivity, we directly reconstruct the low-frequency electrical properties including the extracellular mean conductivity and extracellular conductivity tensor. To demonstrate the proposed method by comparing the ion concentration and the ion mobility, we conducted human experiments for the proposed low-frequency conductivity imaging. Human experiments verify that the proposed method can recover the low-frequency electrical properties using a conventional MRI scanner.
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页数:20
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