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Related Experiment Videos

MR flow imaging in projection through a stationary surround.

D Saloner1, W H Hinson, P R Moran

  • 1Department of Radiology, Bowman Gray School of Medicine, Winston-Salem, NC.

Journal of Computer Assisted Tomography
|January 1, 1988
PubMed
Summary

This study introduces a novel magnetic resonance imaging technique that visualizes blood flow by creating alternating magnetization patterns. This method inherently suppresses stationary signals, enabling clear flow imaging without subtraction.

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Ferumoxytol-enhanced MRI in the peripheral vasculature.

Clinical radiology·2018

Area of Science:

  • Medical Imaging
  • Biophysics
  • Fluid Dynamics

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for non-invasive physiological assessment.
  • Accurate visualization of fluid flow, particularly blood, remains a challenge in MRI.
  • Distinguishing flowing from stationary tissues is essential for many diagnostic applications.

Purpose of the Study:

  • To develop and describe a novel MRI technique for enhanced flow imaging.
  • To demonstrate the capability of suppressing signals from stationary tissues.
  • To achieve flow velocity distribution visualization within vessels.

Main Methods:

  • Utilizing cyclic inversion of longitudinal magnetization to generate moving material boli.
  • Exploiting alternating signs of magnetization at specific flow spacings.

Related Experiment Videos

  • Analyzing intensity distribution minima and banded structures.

    • Main Results:

    • The technique produces a banded intensity structure directly related to flow velocity distribution.
    • Signal strength minima occur at periodic spacings due to opposing magnetization signs.
    • Inherent suppression of stationary material signals was achieved, eliminating the need for image subtraction.

    Conclusions:

    • The described MRI technique offers a robust method for flow imaging.
    • It provides inherent background suppression, simplifying image acquisition and interpretation.
    • This approach has potential for improved diagnostic capabilities in vascular imaging.