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Automated Measurement of Microcirculatory Blood Flow Velocity in Pulmonary Metastases of Rats
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Measuring blood velocity using 4D-DSA: A feasibility study.

Gabe Shaughnessy1, Sebastian Schafer2, Michael A Speidel1

  • 1Department of Medical Physics, University of Wisconsin, Madison, WI, USA.

Medical Physics
|August 14, 2018
PubMed
Summary
This summary is machine-generated.

Four-dimensional digital subtraction angiography (4D-DSA) can measure blood flow and velocity in cerebral vasculature. This technique, using conventional angiography systems, shows feasibility for quantitative diagnosis and treatment planning.

Keywords:
4D-DSAblood flowblood velocimetry

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Area of Science:

  • Medical Imaging
  • Cerebrovascular Imaging
  • Interventional Radiology

Background:

  • Four-dimensional digital subtraction angiography (4D-DSA) offers 3D time-resolved visualization of contrast passage in arteries.
  • This technique has potential applications beyond visualization, including quantitative hemodynamic assessment.

Purpose of the Study:

  • To evaluate the feasibility of using 4D-DSA data for measuring blood velocity and flow in the cerebrovasculature.
  • To assess the accuracy of 4D-DSA derived hemodynamic measurements.

Main Methods:

  • Utilized pulsatile signals in time concentration curves (TCCs) from 4D-DSA reconstructions to track contrast bolus movement.
  • Employed a Fourier-based algorithm to identify and follow pulsatility, with a Side Band Ratio (SBR) metric to enhance accuracy in weak signal regions.
  • Validated the method using 4D-DSA data from vascular phantoms and human studies.

Main Results:

  • Velocities calculated from 4D-DSA reconstructions in cerebrovascular phantoms were within 10% of flow meter measurements.
  • Blood velocity and flow values derived from human studies aligned with existing literature values.

Conclusions:

  • 4D-DSA successfully provides temporal and spatial information on blood flow and vascular geometry using standard rotational angiography.
  • This feasibility study demonstrates that 4D-DSA data can accurately calculate blood velocity, correlating well with measured values.
  • The integration of 4D-DSA for hemodynamic assessment can advance quantitative diagnosis, treatment planning, and evaluation for cerebrovascular diseases.