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Magnetic Resonance Imaging01:24

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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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Optimized inversion-time schedules for quantitative T1 measurements based on high-resolution multi-inversion EPI.

Ouri Cohen1,2, Jonathan R Polimeni1,2,3

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

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Summary
This summary is machine-generated.

This study presents an optimized multi-inversion echo-planar imaging technique for faster quantitative T1 mapping. The method accelerates T1 mapping by optimizing slice order and inversion times, yielding accurate and precise results.

Keywords:
EPIMR fingerprintingMR relaxationT1 mapping

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative Imaging
  • Biomedical Engineering

Background:

  • Quantitative T1 mapping is crucial for various MRI applications.
  • Traditional T1 mapping techniques can be time-consuming, limiting their clinical utility.
  • Accelerating T1 mapping while maintaining accuracy and precision is a significant challenge.

Purpose of the Study:

  • To demonstrate an optimized multi-inversion echo-planar imaging (EPI) technique for accelerated quantitative T1 mapping.
  • To improve the efficiency of T1 mapping through judicious selection of inversion times and slice ordering.

Main Methods:

  • Developed an optimized multi-inversion EPI sequence with tailored inversion times for each slice.
  • Optimized slice ordering to maximize tissue T1 value discrimination.
  • Validated the technique using the ISMRM/NIST phantom and in vivo human subjects at 3T.
  • Compared results with an unoptimized 21-measurement acquisition and a gold-standard inversion-recovery sequence.

Main Results:

  • Achieved excellent agreement (R² = 0.99) between proposed method, NIST phantom, and gold-standard T1 estimates.
  • Demonstrated negligible estimation bias, lower than the unoptimized protocol (0.74 ms vs. 19 ms).
  • Reported high scan-rescan precision (coefficient of variation 0.83-0.93) within and across sessions.

Conclusions:

  • Optimized slice orderings significantly accelerate quantitative T1 mapping.
  • The developed sequence provides accurate and precise T1 maps.
  • This technique offers a faster and reliable approach for quantitative T1 mapping in MRI.