Divergence-Based Magnetic Resonance Electrical Properties Tomography

2021 ◽  
Vol 68 (1) ◽  
pp. 192-203 ◽  
Author(s):  
Chunyi Liu ◽  
Lei Guo ◽  
Mingyan Li ◽  
Haiwei Chen ◽  
Jin Jin ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Electrical Properties

Diffusion tensor magnetic resonance imaging

2018 ◽  
pp. 624-628
Author(s):  
David Sosnovik
Keyword(s):  
Magnetic Resonance Imaging ◽  
Heart Failure ◽  
Magnetic Resonance ◽  
Electrical Properties ◽  
Diffusion Tensor ◽  
Resonance Imaging ◽  
Mechanical And Electrical Properties ◽  
Clinical Scenarios ◽  
Translational Studies ◽  
Whole Heart

The microstructure of the heart has a major impact on its mechanical and electrical properties. Diffusion tensor magnetic resonance imaging (DTI) exploits the anisotropic restriction of water diffusion in the myocardium to resolve its microstructure. Recent advances in the field have included the development of acceleration-compensated diffusion-encoded sequences, the investigation of sheet dynamics, and the development of highly accelerated techniques to enable whole heart coverage. Translational studies have demonstrated the utility of DTI in heart failure and other cardiomyopathies. While DTI of the heart remains investigational, ongoing advances in the field will soon allow the technique to be performed reliably and quickly in appropriate clinical scenarios.

Magnetic resonance electrical properties tomography for small anomalies using boundary conditions: A simulation study

2017 ◽  
Vol 44 (9) ◽  
pp. 4773-4785 ◽  
Author(s):  
Joonsung Lee ◽  
Narae Choi ◽  
Jin Keun Seo ◽  
Dong-Hyun Kim
Keyword(s):  
Magnetic Resonance ◽  
Electrical Properties ◽  
Boundary Conditions ◽  
Simulation Study

scholarly journals Magnetic Resonance-Electrical Properties Tomography by Directly Solving Maxwell’s Curl Equations

2020 ◽  
Vol 10 (9) ◽  
pp. 3318
Author(s):  
Jieru Chi ◽  
Lei Guo ◽  
Aurelien Destruel ◽  
Yaohui Wang ◽  
Chunyi Liu ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Electrical Properties ◽  
Graphics Processing Unit ◽  
Field Measurements ◽  
Processing Unit ◽  
Field Calculation ◽  
Resonance Imaging ◽  
Equation Problem ◽  
Magnetic Resonance Imaging Mri

Magnetic Resonance-Electrical Properties Tomography (MR-EPT) is a method to reconstruct the electrical properties (EPs) of bio-tissues from the measured radiofrequency (RF) field in Magnetic Resonance Imaging (MRI). Current MR-EPT approaches reconstruct the EP profile by solving a second-order partial differential wave equation problem, which is sensitive to noise and can induce large reconstruction artefacts near tissue boundaries and areas with inaccurate field measurements. In this paper, a novel MR-EPT approach is proposed, which is based on a direct solution to Maxwell’s curl equations. The distribution of EPs is calculated by iteratively fitting the RF field calculated by the finite-difference-time-domain (FDTD) technique to the measured values. To solve the time-consuming problem of the iterative fitting, a graphics processing unit (GPU) is used to accelerate the FDTD technique to process the field calculation kernel. The new EPT method was evaluated by investigating a numerical head phantom, and it was found that EP values can be accurately calculated and were relatively insensitive to simulated RF field errors. The feasibility of the proposed method was further validated using phantom-based experimental data collected from a 9.4 Tesla (T) Magnetic Resonance Imaging (MRI) system. The results also indicated that more accurate EP values could be reconstructed from the new method compared with conventional methods. Moreover, even in the absence of phase information of the RF field, the proposed approach is still capable of offering robust EPT solutions, thus having improved practicality for potential clinical applications.

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