SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI

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초록

Magnetic resonance electrical impedance tomography (MREIT) permits high-spatial resolution electrical conductivity mapping of biological tissues, and its quantification accuracy hinges on the signal-to-noise ratio (SNR) of the current-induced magnetic flux density (B-z). The purpose of this work was to achieve B-z SNR-enhanced rapid conductivity imaging by developing an echo-shifted steady-state incoherent imaging-based MREIT technique. In the proposed pulse sequence, the free-induction-decay signal is shifted in time over multiple imaging slices, and as a result is exposed to a plurality of injecting current pulses before forming an echo. Thus, the proposed multi-slice echo-shifting strategy allows a high SNR for B-z for a given number of current injections. However, with increasing the time of echo formation, the B-z SNR will also be compromised by T-2*-related signal loss. Hence, numerical simulations were performed to evaluate the relationship between the echo-shifting and the B-z SNR, and subsequently to determine the optimal imaging parameters. Experimental studies were conducted to evaluate the effectiveness of the proposed method over conventional spin-echo-based MREIT. Compared with the reference spin-echo MREIT, the proposed echo-shifting-based method improves the efficiency in both data acquisition and current injection while retaining the accuracy of conductivity quantification. The results suggest the feasibility of the proposed MREIT method as a practical means for conductivity mapping.

키워드

magnetic resonance imaging (MRI); magnetic resonance electrical impedance tomography (MREIT); echo-shifted MRI; steady-state incoherent imaging; electrical conductivity; IMPEDANCE TOMOGRAPHY MREIT; MAGNETIC-FLUX DENSITY; GRADIENT-RECALLED MRI; STEADY-STATE; BRAIN; TISSUE; RECONSTRUCTION; SENSITIVITY
제목
SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI
저자
Lee, Hyunyeol; Park, Jaeseok
DOI
10.3390/tomography8010031
발행일
2022-02
유형
Article
저널명
TOMOGRAPHY
권
8
호
1
페이지
376 ~ 388