Herbert Köstler1 and Oliver Schad1
1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany
Synopsis
Keywords: Pulse Sequence Design, New Signal Preparation Schemes
Motivation: Determination of T2 typically depends on spin-echo based relaxometry. Partially spoiled non-balanced gradient echo imaging also allows T2-mapping but requires two data sets from two different steady states, making it prone to motion artefacts.
Goal(s): To determine T2 from a single T2-weighted steady state.
Approach: A combination of partial spoiling and oscillating steady state imaging was optimized using Bloch simulations, implemented on a human whole-body MR-scanner and tested on a test object and in vivo.
Results: Partially spoiled oscillating steady state imaging allowed generating phase images similar to partially spoiled non-balanced SSFP imaging without the need to sequentially establish two different steady states.
Impact: Partially spoiled gradient echo imaging allows
T2-mapping without using large flip angles but requires data from two different
steady states. By combining partial
spoiling with oscillating steady state imaging T2 can be determined from one
single oscillating steady state.
Introduction
Typically, T2 is determined from spin echo
based acquisitions resulting in prolonged examinations. Partial spoiling of
non-balanced gradient echoes [1] allows fast mapping of T2 [2, 3], but requires establishing two different steady states consecutively.
Gradient echoes, where the phase [4] or the amplitude [5] of the excitation pulse or the repetition time [6] are varied periodically (with n steps) lead to oscillating steady
states. That means, the signals of n consecutively acquired echoes differ, but
every n-th echo is equal. Or, in other words, n different “projections” of one
established steady state develop.
In this work, we combined
partial spoiling and non-balanced oscillating steady state imaging to determine
T2 from different projections of one oscillating steady state.Methods
Bloch simulations were performed to calculate
the signal intensities of bSSFP, partially spoiled bSSFP, oscillating steady
states and partially spoiled oscillating steady states. For non-balanced SSFP
sequences the signal was calculated by integrating over a dephasing of 2π per TR. Simulation parameters (unless otherwise stated in the figures) were: T1=700 ms, T2=60 ms, TR=6 ms, TE=0.1
ms, flip angle α=12°, flip
angle variation Δα=2°, quadratic phase increment Θ=0.7°. On a 1.5 T scanner (Avanto Fit, Siemens Healthcare, Erlangen, Germany)
experiments were performed using non-balanced oscillating steady states with partial
and full spoiling, i.e. quadratic phase increments of 0.7/1° and 117°,
respectively. The sequence diagram is shown in fig 1. All sequences were
equipped with a spiral read out optimized to avoid peripheral nerve
stimulations [7]. As a test object the Essential System Phantom (Caliber MRI, Boulder
Co, USA) was used [8]. Here the acquisition
parameters were TR=6 ms, TE=1 ms, flip angle α=7.5°, flip
angle variation Δα=2.5°, quadratic phase increment Θ=0.7°.
Additionally, in vivo images were acquired from the head of a healthy
volunteer with the following parameters: TR=5.4 ms, TE=0.6 ms, flip angle α=12°, flip angle variation Δα=2°, quadratic
phase increment Θ=1°. Images were reconstructed using convolution gridding with a Voronoi
density compensation [9].Results
Figure 2 shows the complex signal intensities of
bSSFP, partially spoiled bSSFP, oscillating steady states and partially spoiled
oscillating steady states. The signal intensities of the non-balanced sequence
are displayed as crosses in figure 2 and 3 (top left). The imaginary part of
the signal is similar for both echoes of the non-balanced oscillating steady
state sequence and the corresponding non-balanced SSFP sequence and the real
part is similarly increased and decrease from SSFP to the even and odd echoes
of the oscillation steady states. Figure 3 also displays simulations showing the
dependency of the complex signal amplitudes on T1, T2 and flip angle
attenuations. It can be recognised that the imaginary part of the signal
strongly depends on T2, but is largely independent of T1 or the flip angle
attenuation. Additionally, for an appropriate choice of parameters the
imaginary parts of both echoes appear to be similar. That means, the phase of difference
between the complex signals of the two echoes of the oscillating steady state can
be used as an estimate for the background phase.
Figure 4 presents a reconstruction of the “T2”-slice of the Essential System
Phantom using a partially spoiled non-balanced oscillating steady state
sequence. The phase images generated using either the difference of the two
echoes or an additional reference measurement (using a quadratic spoiling of
117°) appear similar. A quantitative evaluation presents agreement within the errors of the two methods. The results of the quantitative evaluation in the phantom
could be used as a basis for a look-up table to convert phase images to quantify
T2-maps in the future [3].
In figure 5 the magnitude and phase images
(using only the partially spoiled non-balanced oscillating steady state or the reference
measurement with quadratic spoiling of 117°) are shown. Again, the
differently generated phase images appear similar, however with more noise in the image with the oscillating steady state phase reference. Both images show the expected
T2-dependence.Discussion and Conclusion
Partially spoiled oscillating steady states were
simulated and tested on a clinical scanner. The implementation of a single
oscillating steady state, where two different projections can be acquired at
odd and even echoes, respectively, allow to continuously sample T2-weighted
information and retrieve the background phase. The use of a spiral read-out
allowed a short echo time and thus reduced T2*-weighting but is not mandatory
for partially spoiled non-balanced oscillating steady state imaging. In
summary, partially spoiled oscillating steady states allow generating T2-maps
without the need to sequentially settle two different steady states.Acknowledgements
No acknowledgement found.References
1. Zur, Y., M.L. Wood, and L.J.
Neuringer, Spoiling of Transverse
Magnetization in Steady-State Sequences. Magnetic Resonance in Medicine,
1991. 21(2): p. 251-263.
2. Bieri, O., et
al., Quantitative Mapping of T-2 Using
Partial Spoiling. Magnetic Resonance in Medicine, 2011. 66(2): p. 410-418.
3. Wang, X.K., D.
Hernando, and S.B. Reeder, Phase-based
T-2 mapping with gradient echo imaging. Magnetic Resonance in Medicine,
2020. 84(2): p. 609-619.
4. Vasanawala, S.S.,
J.M. Pauly, and D.G. Nishimura, Fluctuating
equilibrium MRI. Magnetic Resonance in Medicine, 1999. 42(5): p. 876-883.
5. Absil, J., V.
Denolin, and T. Metens, Fat attenuation
using a dual steady-state balanced-SSFP sequence with periodically variable
flip angles. Magnetic Resonance in Medicine, 2006. 55(2): p. 343-351.
6. Leupold, J., J.
Hennig, and K. Scheffler, Alternating
repetition time balanced steady state free precession. Magnetic Resonance
in Medicine, 2006. 55(3): p.
557-565.
7. Schad, O., T.
Wech, and H. Köstler, Consideration of
peripheral nerve stimulation in the optimization of spiral k-spacetrajectories.
Proceedings of the ISMRM, 2023. 31:
p. 2872.
8. Caliber MRI, Model 106 Essential
System Phantom Spec Sheet. Last retrieved: 02.11.2023. Available at: https://qmri.com/wp-content/uploads/2023/05/Model-106-Essential-System-Phantom-specs-Rev-B.pdf
9. Jeffrey A. Fessler,
Michigan Image Reconstruction Toolbox. Last retrieved: 06.11.2023. Available at:
https://web.eecs.umich.edu/~fessler/code/.