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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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A model-based reconstruction technique for fast dynamic T1 mapping.

Johannes Tran-Gia1, Sotirios Bisdas2, Herbert Köstler3

  • 1Department of Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany; Department of Nuclear Medicine, University of Würzburg, Würzburg, Germany.

Magnetic Resonance Imaging
|November 25, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel dynamic T1 mapping technique using IR-MAP reconstruction. The method effectively corrects T1 errors, enabling real-time tracking of T1 changes in medical imaging.

Keywords:
Dynamic T(1) mappingDynamic contrast-enhanced MRIDynamic parameter mappingInversion recovery Look-Locker T(1) mappingModel-based reconstruction

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Quantitative Imaging

Background:

  • T1 mapping is crucial for characterizing tissue properties in MRI.
  • Dynamic T1 mapping allows monitoring of physiological processes over time.
  • Existing methods face challenges in temporal resolution and accuracy.

Purpose of the Study:

  • To present a novel technique for dynamic T1 mapping.
  • To enable accurate T1 measurements with high temporal resolution.
  • To validate the technique in phantom and human studies.

Main Methods:

  • Utilized a model-based reconstruction (IR-MAP) for T1 mapping.
  • Performed consecutive radial inversion recovery Look-Locker FLASH acquisitions.
  • Implemented iterative correction for T1 errors due to insufficient relaxation.
  • Achieved dynamic T1 mapping by repeating acquisitions with short waiting periods.

Main Results:

  • Validated the dynamic T1 mapping technique in a phantom and seven healthy volunteers.
  • Demonstrated effective correction of systematic T1 deviations between maps.
  • Successfully applied the method to monitor T1 dynamics in a lymphoma patient post-contrast agent injection.

Conclusions:

  • The proposed setup enables dynamic T1 mapping with 1.6 mm × 1.6 mm × 3 mm spatial resolution.
  • Achieved a temporal resolution of one parameter map every 9 seconds.
  • Offers a new capability for tracking T1 changes over time, valuable for applications like dynamic contrast-enhanced MRI.