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Magnetic Resonance Imaging

Magnetic Resonance Imaging

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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Phase-based arterial input function measurements for dynamic susceptibility contrast MRI.

Egbert J W Bleeker¹, Mark A van Buchem, Andrew G Webb

¹C. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

Magnetic Resonance in Medicine

|July 29, 2010

Summary

This summary is machine-generated.

Phase-based arterial input function (AIF) selection in dynamic susceptibility contrast perfusion MRI is more accurate in tissue outside the middle cerebral artery than inside. This method also offers more suitable tissue locations compared to magnitude-based AIF selection.

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Area of Science:

Medical Imaging
Neuroimaging
Biophysics

Background:

Dynamic susceptibility contrast (DSC) perfusion MRI is crucial for assessing brain perfusion.
Arterial input function (AIF) measurement is essential for accurate DSC perfusion MRI.
Traditional AIF measurement relies on MR signal phase within an artery.

Purpose of the Study:

To evaluate if phase-based AIF selection is superior in perivascular tissue versus within the artery.
To compare phase-based AIF selection with magnitude-based AIF selection.
To determine optimal locations for phase-based AIF selection in DSC MRI.

Main Methods:

Theoretical analysis and numerical simulations of MR signal phase changes.
Phantom experiments to validate simulation results.
In vivo experiment to demonstrate feasibility of phase-based AIF selection in perivascular tissue.

Main Results:

Phase-based AIF selection in perivascular tissue avoids partial-volume effects that distort AIFs measured within the artery.
Optimal locations for phase-based AIF selection are consistent across various clinical DSC MRI sequences.
Phase-based AIF selection identifies more valid tissue locations for AIF estimation than magnitude-based methods.

Conclusions:

Phase-based AIF selection in perivascular tissue offers improved accuracy and broader applicability in DSC perfusion MRI.
This technique enhances the reliability of AIF estimation, crucial for quantitative perfusion analysis.
Phase-based AIF selection represents a valuable advancement for neuroimaging applications.