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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...
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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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Related Experiment Video

Updated: May 1, 2026

Cardiac Magnetic Resonance Imaging at 7 Tesla
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Magnetic resonance imaging at ultrahigh fields.

Kamil Ugurbil

    IEEE Transactions on Bio-Medical Engineering
    |April 2, 2014
    PubMed
    Summary

    Ultrahigh magnetic fields (UMFs) offer enhanced signal-to-noise ratio (SNR) and biological information for medical imaging. Despite challenges like radiofrequency (RF) wave interference causing image nonuniformities, UMFs enable advanced parallel imaging techniques for superior brain and body scans.

    Area of Science:

    • Medical Imaging
    • Biophysics
    • Magnetic Resonance Imaging

    Background:

    • The advent of 4 Tesla (T) human systems around 1990 spurred advancements in magnetic resonance (MR) imaging and spectroscopy.
    • Subsequent development led to 7T and higher magnetic field systems for human research, building on studies in animal models at 9.4T.

    Purpose of the Study:

    • To highlight the advantages and challenges of ultrahigh magnetic fields (UMFs) in medical imaging.
    • To explain the role of radiofrequency (RF) wave behavior and parallel imaging in UMF success.
    • To showcase the progress and future potential of UMFs in anatomical and functional imaging.

    Main Methods:

    • Utilizing ultrahigh magnetic field strengths (7T and higher) for human and animal studies.
    • Investigating radiofrequency (RF) wave propagation and interference patterns at UMFs.

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  • Implementing parallel imaging techniques for signal reception and transmission.

    • Main Results:

    • UMFs provide significant gains in signal-to-noise ratio (SNR) and biological information content.
    • Radiofrequency (RF) wave attenuation and interference at UMFs cause image nonuniformities.
    • These nonuniformities are leveraged by parallel imaging, crucial for UMF success.
    • Significant improvements achieved in brain imaging, with emerging applications in torso and extremities.

    Conclusions:

    • Ultrahigh magnetic fields offer unprecedented imaging capabilities, particularly for the brain.
    • Parallel imaging technologies are essential for overcoming UMF-specific challenges and realizing their full potential.
    • Current advancements represent a foundational stage for future developments in UMF research and instrumentation.