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Mathematical framework for B-z-based MREIT model in electrical impedance imaging

机译:电阻抗成像中基于B-z的MREIT模型的数学框架

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摘要

Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging modality visualizing static conductivity images of a subject by injecting electrical currents (Neumann data) and measuring the induced internal magnetic flux density B using an MRI scanner. Taking advantage of the internal information B, MREIT can deal with the ill-posed characteristics of the inverse problem in electrical impedance tomography (EIT). However, the MREIT model at its early stage has technical difficulties in clinical applications mainly due to the requirement of subject rotations for acquiring all of the three components of B = (B-x, B-y, B-z). Lately, a new model so called the B-z-based MREIT model has been proposed to eliminate the subject rotation procedure. In this new MREIT model, we need to measure only one component B(z)when the z-axis is the direction of the main magnetic field of the MRI scanner. There have been significant advances in reconstruction algorithms based on the B-z-based MREIT model and experimental studies showed that an excellent contrast resolution can be achievable. Although these advance in B-z-based MREIT, we have not dealt with its rigorous mathematical theory yet.
机译:磁共振电阻抗断层扫描(MREIT)是一种新的医学成像方法,通过注入电流(诺依曼数据)并使用MRI扫描仪测量感应的内部磁通密度B来可视化对象的静态电导率图像。利用内部信息B,MREIT可以处理电阻层析成像(EIT)中反问题的不适定特性。但是,MREIT模型在其早期阶段在临床应用中存在技术困难,这主要是由于需要轮换获取B =(B-x,B-y,B-z)的所有三个分量。最近,提出了一种新的模型,即所谓的基于B-z的MREIT模型,以消除对象旋转过程。在这种新的MREIT模型中,当z轴是MRI扫描仪主磁场的方向时,我们只需测量一个分量B(z)。基于基于B-z的MREIT模型的重建算法取得了重大进展,实验研究表明,可以实现出色的对比度分辨率。尽管这些进展在基于B-z的MREIT中取得了进步,但我们仍未处理其严格的数学理论。

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