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Related Experiment Videos

Pulsatile flow artifacts in 3D magnetic resonance imaging

L R Frank1, R B Buxton, C W Kerber

  • 1Department of Radiology, University of California at San Diego.

Magnetic Resonance in Medicine
|September 1, 1993
PubMed
Summary
This summary is machine-generated.

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Pulsatile flow causes complex artifacts in 3D magnetic resonance imaging (MRI) due to signal variations during the heart cycle. These artifacts appear as displacements, influenced by imaging parameters and flow modulation frequency.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Cardiovascular Imaging

Background:

  • Pulsatile flow in biological systems, such as blood flow, introduces dynamic variations.
  • These dynamic variations can generate artifacts in medical imaging techniques, potentially affecting diagnostic accuracy.
  • Three-dimensional magnetic resonance imaging (3D MRI) offers comprehensive volumetric data but can be susceptible to motion-induced artifacts.

Purpose of the Study:

  • To analyze and demonstrate how pulsatile flow generates artifacts in 3D MRI.
  • To characterize the nature and behavior of these flow-induced artifacts within the image volume.
  • To understand the relationship between imaging parameters, physiological conditions, and artifact patterns.

Main Methods:

  • Analysis of time variations in magnetic resonance signals during the cardiac cycle.

Related Experiment Videos

  • Mathematical description of artifact appearance and location as displacements in a specific image plane.
  • Numerical simulations to model artifact generation and aliasing effects.
  • Experimental validation using a carotid artery phantom and human subjects.
  • Main Results:

    • Pulsatile flow creates more complex artifacts in 3D MRI compared to 2D MRI.
    • Artifacts manifest as displacements along a line in a plane defined by phase and volume encoding directions.
    • Artifact displacement is proportional to signal modulation frequency, and patterns are sensitive to pulsation period and repetition time.

    Conclusions:

    • The study provides a detailed understanding of pulsatile flow artifacts in 3D MRI.
    • The findings help in predicting and potentially mitigating these artifacts in clinical imaging.
    • Numerical simulations accurately predict experimental observations in both phantom and human studies.