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Free-Running Three-Dimensional Cardiac Extracellular Volume Mapping in a Single Scan With Mid-Scan Contrast

Wonil Lee1,2, Paul Kyu Han1,2, Thibault Marin1,2,3

  • 1Yale Biomedical Imaging Institute, Yale University School of Medicine, New Haven, Connecticut, USA.

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This summary is machine-generated.

This study introduces a novel method for 3D cardiac extracellular volume (ECV) mapping. The technique enables single-scan, free-running imaging with mid-scan contrast injection for improved cardiac assessment.

Keywords:
cardiac T1 mappingcardiac extracellular volume (ECV) mappingcine imaginglinear tangent space alignment (LTSA)

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Area of Science:

  • Cardiovascular imaging
  • Magnetic Resonance Imaging (MRI)
  • Medical diagnostics

Background:

  • Accurate extracellular volume (ECV) mapping is crucial for diagnosing and monitoring various cardiac conditions.
  • Traditional ECV mapping methods often require multiple scans or breath-holds, limiting their clinical applicability.
  • Developing a single-scan, free-running 3D ECV mapping technique can significantly improve patient comfort and workflow efficiency.

Purpose of the Study:

  • To develop and validate a novel free-running, three-dimensional (3D) cardiac magnetic resonance imaging (MR) method for extracellular volume (ECV) mapping.
  • To achieve ECV mapping within a single, continuous scan with contrast agent administration partway through the acquisition.
  • To enable comprehensive 3D cardiac assessment in a single imaging session.

Main Methods:

  • Utilized a single, free-running 3D cardiac MR scan with an inversion recovery (IR) sequence and spoiled gradient-echo readout.
  • Administered contrast agent mid-scan and reconstructed dynamic images using a linear tangent space alignment (LTSA) model.
  • Estimated pre- and post-contrast T1* values, synthesized cardiac cine images, and calculated 3D ECV maps using measured hematocrit levels.

Main Results:

  • Demonstrated feasibility in three healthy subjects using a 3T MR scanner.
  • ECV maps showed good agreement with the established MOLLI method, with average myocardial ECV of 29.82% ± 2.45%.
  • Synthesized cine images accurately captured cardiac motion, yielding an ejection fraction of 63.3% ± 8%, consistent with literature values.

Conclusions:

  • A novel approach for 3D cardiac ECV mapping in a single, free-running scan has been successfully developed.
  • The method integrates contrast injection mid-scan, allowing for efficient and comprehensive cardiac assessment.
  • This technique offers a promising advancement for clinical cardiovascular imaging and research.