Anne Slawig1, Tobias Wech1, Johannes Tran-Gia1,2, Henning Neubauer1, Thorsten Bley1, and Herbert Köstler1
1Departement for Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany, 2Department of Nuclear Medicine, Würzburg, Germany
Synopsis
Imaging of the beating heart is one of the main challenges in fast MRI. Balanced
steady state free precession sequences are fast, yield high signal and
have excellent contrast between blood and myocardium. Unfortunately, they are sensitive
to field inhomogeneities, which lead to banding artifacts, considerably reducing
the image quality. As the steady state tolerates small shifts in frequency it
is possible to acquire a frequency- modulated bSSFP.
Our study uses such a
frequency-modulated approach in combination with a multi-frequency
reconstruction to obtain banding free CINE images, with high signal and good
contrast.Purpose
Imaging of the beating heart is one of the main challenges in fast MRI. In
order to depict the heart in the different phases of the cardiac cycle and to avoid
artefacts due to respiratory motion the data acquisition needs to be fast,
yield high signal and provide excellent contrast between blood and myocardium. Balanced steady state
free precession (bSSFP) sequences offer all these advantages. Unfortunately, they
are sensitive to field inhomogeneities, which lead to banding artifacts, considerably
reducing the image quality
1. In 2002, Foxall et al.
demonstrated that the steady state of bSSFP tolerates a slow frequency change
2, thus allowing
it to sweep through different frequencies in one acquisition. Such a dynamically frequency-sweeped radial
acquisition proved suitable to create banding-free images even in the presence
of high field inhomogeneities
3. The purpose of this study was to apply a frequency
modulated procedure to cardiac cine imaging and to use a multi-frequency reconstruction to obtain
banding free images of the cardiac cycle.
Methods
Radial bSSFP
measurements were performed in a healthy volunteer on a 3T MRI system (Siemens
MAGNETOM Prisma) using a 30-channel body array coil. The pulse sequence
featured a shift in the offset frequency for each projection, covering a total
offset frequency range of 360Hz. Other imaging parameters were: TE 1.4ms, TR
2.8ms, flip angle 36°, resolution 2.2x2.2x10mm3, total acquisition
time 19s.
Readouts of in vivo
measurements were retrospectively assigned to 20 cardiac phases using the ECG information
recorded during the measurement.
All images were
reconstructed by gridding a 2D Fourier transform and a square-root of the sum-of-squares
combination of all coils. Additionally, all images were reconstructed for 100 different
off-resonance frequencies in analogy to EPI corrections
4 to correct for
off-resonance effects in frequency-modulated acquisitions.
The procedure first compensates for the
linear drift in signal phase caused by the acquisition pattern and leads to a
binary distribution of phase with one 180° phase shift per cycle of the
off-resonance profile. The algorithm then eliminates this phase jump for
different assumed frequencies.
A square-root of the sum-of-squares
combination of all coils generated an image stack, whose maximum intensity
projection provided the final result.
Results
Figure 1 shows a short axis view in diastole and systole for standard bSSFP,
frequency-modulated bSSFP with simple gridding reconstruction and the proposed
frequency-modulated bSSFP with multi-frequency reconstruction. The images show banding artefacts in standard bSSFP
images. Frequency-modulation removes bandings but gridding reconstruction is
accompanied by signal losses. The proposed multi-frequency reconstruction
removed bandings and features high signal intensity.
Discussion & Conclusion
Our study demonstrates
the capabilities of a multi-frequency reconstruction. In addition to the
possibility of reconstructing banding-free images of the cardiac cycle from one
breath-hold CINE acquisition, the multi-frequency reconstruction provides an
increased signal level compared to a simple gridding reconstruction. Main
advantages of bSSFP, namely acquisition speed and image contrast, were
successfully retained by the reconstruction. Future work will involve a
combination of frequency-modulated bSSFP with acceleration techniques like
parallel imaging or compressed sensing to further reduce streaking artifacts
and to improve the spatial resolution.
Acknowledgements
No acknowledgement found.References
1. Schär M et.al. Cardiac SSFP Imaging at 3 Tesla.
MRM.
2004; 51:799–806
2. Foxall D.L. Frequency-Modulated Steady-State Free Precession Imaging. MRM. 2002;48:502-5083.
3. Benkert et.al. Dynamically Phase-Cycled Radial Balanced SSFP Imaging
for Efficient
Banding removal. MRM2015,73(1):182–94
4. Man LC1, Pauly JM, Macovski A. Multifrequency interpolation for fast off-resonance correction. MRM. 1997;37(5):785-92.