Abstract
Magnetic resonance conductivity tensor imaging (MRCTI) reconstructs high-resolution anisotropic conductivity images, which are proved to have critical importance in radio-oncological imaging as well as source localization fields. In the MRCTI technique, linearly independent current injections are applied to the region to be imaged and resulting magnetic flux densities are measured using magnetic resonance imaging techniques. In this study, a novel iterative reconstruction algorithm based on a sensitivity matrix approach is proposed and tested using both simulated and experimental measurements. Obtained results show that the proposed technique can reconstruct anisotropic conductivity images with high and position-independent spatial resolution in addition to decreased number of current injection strategies.
Highlights
Electrical conductivity distribution is a clinically important information especially in accurate analysis of biosignals such as EEG or ECG and localization of bioelectromagnetic sources, as well as accurate planning of electromagnetic therapeutic techniques [1, 2]
Magnetic resonance electrical impedance tomography (MREIT) is today on the way to becoming a clinically applicable technique [10,11,12]. In this technique, injected or induced currents are applied to the region of interest as in electrical impedance tomography (EIT), but in this case, magnetic flux densities generated by these currents are measured within the body using magnetic resonance imaging (MRI) techniques with equal sensitivity
The proposed algorithm is based on the generation of a sensitivity matrix, which relates the perturbation of magnetic flux density for a perturbation in conductivity tensor and repeats this calculation iteratively for more accurate image reconstruction
Summary
Electrical conductivity distribution is a clinically important information especially in accurate analysis of biosignals such as EEG or ECG and localization of bioelectromagnetic sources, as well as accurate planning of electromagnetic therapeutic techniques [1, 2]. The electrical impedance tomography (EIT) technique was first proposed to measure electrical conductivity in the human body noninvasively [7]. As the results of studies conducted for more than 30 years, EIT evolved into a technique having clinical applications [8]. Magnetic resonance electrical impedance tomography (MREIT) was proposed to image electrical conductivity with high and position-independent resolution [9]. MREIT is today on the way to becoming a clinically applicable technique [10,11,12] In this technique, injected or induced currents are applied to the region of interest as in EIT, but in this case, magnetic flux densities generated by these currents are measured within the body using magnetic resonance imaging (MRI) techniques with equal sensitivity.
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