Alireza Vali1, Sebastian Schmitter2, Liliana Ma1,3, Xiaoke Huang1, Sebastian Flassbeck4, Simon Schmidt4, Michael Markl1,3, and Susanne Schnell1
1Radiology, Northwestern University, Chicago, IL, United States, 2Physikalisch Technische Bundesanstalt, Braunschweig and Berlin, Germany, 3Biomedical Engineering, Northwestern University, Evanston, IL, United States, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
Synopsis
Systematic assessment and optimization of 2D Phase-Contrast (PC) MRI as
well as 4D flow MRI sequences require reliable phantoms that can create known velocity
fields with large velocity ranges corresponding to different cardiovascular
regions. An air-driven rotation phantom was constructed and its performance in
establishing well-defined velocity fields at different rotational speeds was
examined using 3-directional 2D PC MRI acquisitions. Furthermore, the reproducibility
of the phantom was examined with a test-retest experiment on two different days.
It was demonstrated that the phantom could create reproducible linear velocity
fields to be used as a reference for in-vitro validation of PC MRI sequence.
Introduction
Time-resolved 3-directional 2D PC-MRI and its extension to 3D, 4D flow
MRI, enable non-invasive visualization of blood flow patterns and
quantification of hemodynamic parameters, providing valuable diagnostic information
for various cardiovascular diseases (1). PC-MRI and especially 4D flow MRI have been under
continuous development and optimization for instance to improve spatial
resolution, dynamic velocity range, and acquisition time. During development
process, MRI phantoms are indispensable tools for examining new algorithms and evaluating
accuracy and reproducibility of MR sequences for velocity measurement (2,3). It is also useful
to regularly evaluate the quality of MR images using a reference phantom to
ensure consistency across MR scanners for clinical studies. An ideal phantom should
establish well-defined velocity fields, so the measured velocities can be
compared with the ground truth, and it should reproduce the same velocities under
the same settings. In this study, an air-driven rotation phantom was designed
to meet these criteria, and its performance was examined.Methods
The phantom consists of a cylinder with a diameter of 128 mm surrounded
by a ring with inner and outer diameters of 200 and 250 mm (Figure 1). The cylindrical
component rotates with a known rotational speed, while the ring remains static providing
a stationary reference for phase offset correction. Both components of the
phantom were filled with agarose gel with added sodium azide, NaN3, to
protect against spoilage and gadolinium at 0.2% volumetric ratio to improve MR contrast.
The top of the cylinder was designed as a centrifugal impeller with 12 blades.
A nozzle creates a jet of pressurized air pushing against the impeller blades to
rotate the cylinder. The rotational speed in revolutions-per-minute (RPM) was measured
and recorded in real-time with an optical counter consisting of a photosensor that
generates voltage pulses when light from the sender to receiver of the sensor is
disrupted by an obstacle mounted underneath the cylinder. Using a valve, the
air pressure from a tank was controlled to accomplish desired rotational speeds.
The phantom was placed in the isocenter of a 1.5T MR scanner (Aera, Siemens,
Germany) where it was rotating in the coronal plane. Once the phantom had
constant rotational speed, 3-directional 2D PC-MRI scans with three different
velocity sensitivity (VENC) for three rotational speeds (100, 150, and 200 RPM)
were acquired (Siemens PC-MRI sequence): TR/TE=5.9-6.2/2.5-2.7 ms, flip angle=15°,
voxel=2 mm isotropic. VENCs of 90, 120, and 150 cm/s were used based on expected
maximum velocities of 67, 100, and 134 cm/s, respectively. For phase offset
error (eddy current) correction, the static ring was identified in magnitude
images, a second-order polynomial was fitted to background phase in static
regions and was subtracted from the acquired data in each velocity direction separately.
Knowing the linear relationship of the velocity magnitude with the distance
from the center of the cylinder, the velocity components were calculated analytically
and compared with the velocity components from PC-MRI. For test-retest experiment,
the phantom rotating at 150 RPM was imaged with the same sequence parameters on
two different days.Results
Phase images from 2D PC-MRI acquisition of the phantom rotating at 100
RPM were used to calculate 2D maps of velocity components and velocity
magnitude which are compared with the analytical velocity maps in Figure 2. Velocity
values were sampled across the diameter of the cylinder radially every 5° as
shown in Figure 2e., resulting in 36 values for the velocity magnitude at each
point across the phantom. Mean and 95% confidence interval of velocity
magnitude at different points along the diameter of the phantom are presented
in Figure 3 and are compared with the analytical solution at the three
different rotational speeds. The intraclass correlation coefficient (ICC) of velocity
magnitude were 0.999, 0.999, and 0.997 for 100, 150, and 200 RPM, respectively.
The velocity magnitude at different locations along the diameter of the phantom
rotating at 150 RPM on two different days is presented in Figure 4. The ICC for
the test-retest comparison was 0.999.Discussion
A pressurized air-driven rotation phantom with optical real-time
feedback of rotational speed was developed to be used to evaluate the accuracy in
measuring tissue motion or blood flow velocity with PC-MRI sequences. The
phantom provides a well-defined and continuous linear velocity distribution
which can be used as ground truth velocity field allowing quantitative error
analysis. In addition, the velocity field created by the phantom was
reproducible, which makes the phantom a reliable reference for sequence
validation and quality control.Acknowledgements
Financial support by Siemens Healthcare, AHA 16SDG30420005, NIH
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