When exposed to an external magnetic field, most materials exhibit some form of magnetic properties. Materials can be categorized as diamagnetic or paramagnetic, superparamagnetic, or ferromagnetic, depending on their tendency to be attracted to or repelled by the magnetic (Hidalgo‐Tobon 232). In order to better diagnose a wide range of benign and malignant diseases, it is helpful to identify common endogenous and exogenous substances. It is also important to exalt or minimize their presence in the acquired images using knowledge of the type and extent of their susceptibility. Additionally, there is a need to understand how their magnetic properties affect the conventional sequences used in magnetic resonance imaging (MRI) (Gaeta et al. 11). Chemical shift imaging allows for precise fat quantification in the context of diamagnetic susceptibility by examining the tissue composition of distinct organs.
The use of MRI in clinical practice is increasing because of lower costs and increased accessibility. It is possible to recognize the advantages and restrictions of using this imaging modality by comprehending the underlying principles and its various uses, which help in clinical decision-making (Hidalgo‐Tobon 232). The big hardware producers now know what it takes to transform fickle precision lab equipment for clinical field strengths into sturdy high throughput devices. Consequently, a poorly designed high-field system may have a worse signal-to-noise ratio and more artifacts than a well-tuned low-field (Gaeta et al. 8). Therefore, it is not unexpected that earlier high-field devices underwent extensive testing before being made available to the research community. The system needs to be planned and constructed before problems with RF penetration, dielectric resonances, and power can be fully addressed at specific field strengths.
Works Cited
Gaeta, Michele, et al. “Magnetism of materials: Theory and practice in magnetic resonance imaging.” Insights into Imaging 12.1 (2021): 1-18.
Hidalgo‐Tobon, Silvia S. “Theory of gradient coil design methods for magnetic resonance imaging.” Concepts in Magnetic Resonance Part A 36.4 (2010): 223-242.