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Related Experiment Videos

Pulmonary MR angiography utilizing phased-array surface coils.

H Hatabu1, W B Gefter, J Listerud

  • 1David W. Devon Medical Imaging Center, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia 19104.

Journal of Computer Assisted Tomography
|May 1, 1992
PubMed
Summary
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Magnetic resonance angiography offers a noninvasive, 3D view of pulmonary vasculature. Optimized breath-hold sequences and phased-array coils provide high-resolution imaging, effective for diagnosing conditions like pulmonary embolism.

Area of Science:

  • Radiology
  • Medical Imaging
  • Cardiovascular Imaging

Background:

  • Pulmonary vasculature imaging is crucial for diagnosing conditions like pulmonary embolism.
  • Traditional methods may be invasive or lack comprehensive 3D visualization.

Purpose of the Study:

  • To evaluate magnetic resonance angiography (MRA) for imaging the pulmonary vasculature.
  • To optimize MRA parameters for high-resolution, 3D visualization of lung vessels.

Main Methods:

  • 12 subjects underwent breath-hold gradient echo MRA at 1.5 T.
  • Evaluated spoiled GRASS (SPGR) and WARP-SPGR sequences with varying flip angles and slice thicknesses.
  • Compared different surface coil configurations (Helmholtz pair, phased-array).
  • Utilized VIDA software for 3D segmentation and brightest voxel projection visualization.

Related Experiment Videos

Main Results:

  • SPGR (30° flip, 4 mm slice) and WARP-SPGR (15° flip, 5 mm slice) with phased-array coils yielded optimal images.
  • MR angiograms visualized vessels down to sixth to seventh order branches.
  • The technique successfully imaged pulmonary embolism in three patients.

Conclusions:

  • Breath-hold MRA with optimized fast gradient echo sequences and phased-array coils enables high-resolution imaging of the pulmonary vascular tree.
  • This noninvasive technique provides comprehensive 3D visualization, valuable for clinical applications.
  • MRA is a promising tool for evaluating pulmonary vascular diseases.