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On-line flow quantification by low-resolution phase-contrast MR imaging and model-based postprocessing.

R van der Weide1, C J Bakker, R M Hoogeveen

  • 1Image Sciences Institute, Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands. remko@isi.uu.nl

Journal of Magnetic Resonance Imaging : JMRI
|October 24, 2000
PubMed
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This study enhances magnetic resonance imaging (MRI) for faster blood flow monitoring during vascular interventions. The improved technique provides accurate flow rate measurements every 4 seconds, aiding in real-time procedural guidance.

Area of Science:

  • Medical Imaging
  • Cardiovascular Interventions
  • Biomedical Engineering

Background:

  • Magnetic resonance (MR) imaging is increasingly used for guiding and evaluating diagnostic and therapeutic interventions.
  • On-line monitoring of blood volume flow rate is crucial for vascular MR-guided interventions like balloon angioplasty and stent placement.

Purpose of the Study:

  • To increase the temporal resolution of MR-based blood flow quantification to one evaluation per 4 seconds.
  • To maintain measurement accuracy despite reduced spatial resolution.

Main Methods:

  • Utilized a hardware and software environment for nontriggered phase-contrast imaging.
  • Reduced spatial resolution to 3 pixels per lumen diameter to achieve higher temporal resolution.
  • Applied model-based postprocessing for accurate quantification of volume flow rate.

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Main Results:

  • Demonstrated the feasibility of achieving blood flow quantification every 4 seconds.
  • Validated the accuracy of the model-driven approach using phantom and volunteer studies.
  • Showcased the technique's capabilities through hypercapnia experiments and carotid compression tests.

Conclusions:

  • The developed MR imaging approach enables rapid, accurate, on-line blood flow quantification.
  • This advancement has significant potential for real-time guidance and evaluation in vascular interventions.
  • The model-driven postprocessing preserves accuracy even with accelerated imaging acquisition times.