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Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
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Phase contrast MRI with flow compensation view sharing.

Da Wang1, Jiaxin Shao, Stanislas Rapacchi

  • 1Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA; Biomedical Physics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, California, USA.

Magnetic Resonance in Medicine
|February 18, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces Flow-Compensated View Sharing (FCVS) to speed up phase contrast MRI (PC-MRI) scans. The new method accurately quantifies blood flow and velocity, crucial for cardiovascular assessments.

Keywords:
flow quantificationflow ratephase contrast MRItemporal footprinttemporal resolutionvelocity encodingview sharing

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Area of Science:

  • Medical Imaging
  • Cardiovascular MRI
  • Flow Quantification

Background:

  • Phase contrast MRI (PC-MRI) is vital for assessing blood flow.
  • Standard PC-MRI acquisition involves interleaved flow-compensated (FC) and flow-encoded (FE) echoes.
  • Acquisition time is a limitation in current PC-MRI techniques.

Purpose of the Study:

  • To develop and validate an accelerated PC-MRI technique.
  • To maintain high accuracy in flow quantification.
  • To reduce acquisition time without compromising results.

Main Methods:

  • Proposed an FC view sharing (FCVS) approach by undersampling FC data.
  • Synthesized composite FC frames for each FE frame.
  • Evaluated FCVS in flow phantoms and healthy volunteers, comparing it to standard FC/FE PC-MRI.

Main Results:

  • FCVS demonstrated minimal error in flow volume quantification (0.0% forward, 2.0% reverse) in phantoms.
  • In common carotid arteries, FCVS showed low bias for peak velocity (-1.16 cm/s) and total flow (-0.019 mL).
  • Overall bias error for velocity and volumetric flow was ≤1.3%.

Conclusions:

  • FCVS significantly accelerates PC-MRI acquisitions.
  • The technique maintains the accuracy of flow and velocity measurements.
  • FCVS is effective when temporal variations in FC data are limited.