Magnetic Resonance Electrical Impedance Tomography

Sajib, Saurav Z. K.; Sadleir, Rosalind

doi:10.1007/978-3-031-03873-0_7

Cited by 3 publications

(2 citation statements)

References 67 publications

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“…In comparison, fluorescence imaging offers high resolution, nuclear imaging provides higher detection sensitivity, and electrical impedance imaging is advantageous in functional imaging. Therefore, the development of multimodal detection and analysis techniques that combine different imaging methods in the ECS field is a promising avenue for future research (Sajib & Sadleir, 2022).…”

Section: Resultsmentioning

confidence: 99%

An imaging system of measuring molecular diffusion in the brain extracellular space

Zhang,

Ren,

Wang

et al. 2024

Preprint

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Purpose: To develop a novel method to simultaneously obtain the structural and functional characteristics of the brain extracellular space. Materials and Methods: Design and develop a magnetic tracing imaging analysis method compatible with impedance measurement using Michigan electrodes, synchronously obtaining brain extracellular space structural and electrical characteristic parameters. Twelve adult Sprague-Dawley rats were randomly divided into two groups: the first group was tested using traditional magnetic tracing techniques (n=6), while the second group was tested with a magnetic tracing detection system compatible with impedance measurement applied (n=6). Parameters such as diffusion coefficients, volume fraction and electrical characteristic parameters were calculated and compared. Visualisation of the tissue fluid drainage process was also conducted. Results: The system can synchronously obtain structural and impedance characteristic parameters of extracellular molecular diffusion in the mouse brain. The comparison results show a decrease in the molecular diffusion coefficient in the extracellular gaps (t=4.748, P＜0.01) and a reduction in the diffusion rate and volume fraction of extracellular gaps (t=7.77, P＜0.01). Additionally, electrical parameters of the extracellular gaps were measured, with a conductivity of 2.006 S/m, a dielectric constant of 84.77, a calculated diffusion rate of 3.54*10-4mm2/s, and a volume fraction of 17.43%, consistent with the data obtained from the magnetic tracing method. Conclusion: This system can simultaneously acquire the structural and functional characteristics of ECS, laying the foundation for a new method of neural regulation through the ECS pathway.

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Section: Resultsmentioning

confidence: 99%

An imaging system of measuring molecular diffusion in the brain extracellular space

Zhang,

Ren,

Wang

et al. 2024

Preprint

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“…Ongoing research on MREIT aims to improve its resolution through the development of various algorithms. At present, MREIT technology is undergoing clinical evaluation [17].…”

Section: Induced Current Electrical Impedance Tomography (Iceit)mentioning

confidence: 99%

Electromagnetic induction detection techniques for craniocerebral injury: A review

Song,

Xu,

Shi

et al. 2023

PMD

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Assessing the severity and prognosis of patients with craniocerebral damage is a major research area in medicine since it is a prevalent clinical disease. Acute craniocerebral injury, a common traumatic condition, is often caused by traffic accidents, collisions, and falls in daily life. Secondary craniocerebral injury refers to symptoms such as brain edema and intracranial hemorrhage after acute craniocerebral injury, which will aggravate the injury. Secondary craniocerebral injury can be avoided by effective and timely treatment, and real-time detection of brain edema and intracranial hemorrhage by non-invasive medical imaging is a solution. Therefore, non-invasive medical imaging technology has recently emerged as a new area of study. A new imaging technology, namely the brain injury detection technology based on electromagnetic induction, has been discovered after years of research on non-invasive detection of brain injury. Initially, electromagnetic induction technology was widely used in metal nondestructive testing. The human body, as a conductor, also has electromagnetic induction, allowing this technology to be used on the human body. This study reviews the technologies for detecting electromagnetic induction in cases of craniocerebral damage, including induced current electrical impedance tomography, magneto-acoustic tomography, and eddy current damping sensors for detection and imaging.

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