Synopsis
Fat fraction of the bone marrow has been suggested as an important
quantitative parameter in the assessment of treatment response and
determination of the benignity in oncologic imaging. Therefore, accurate fat
quantification is a prerequisite for the fat fraction to be established as a
reliable imaging biomarker. For this purpose, spoiled gradient echo sequences
have been commonly used. However, gradient echo imaging is susceptible to B0
variations from various sources such as respiration, cardiac pulsation. In this
study, we investigate and compensate the effects of respiration-induced B0
variations on fat quantification of the bone marrow in the lumbar spine.Purpose
Fat fraction of the bone marrow has been suggested as an important quantitative
parameter in the assessment of treatment response and determination of the
benignity in oncologic imaging.
1,2 Therefore, accurate fat quantification
is a prerequisite for the fat fraction to be established as a reliable imaging
biomarker. For this purpose, spoiled gradient echo sequences have been commonly
used. However, gradient echo imaging is susceptible to spatial and temporal B
0
variations from various sources such as respiration, cardiac pulsation, and
body motion. Among them, a respiratory motion is one potential obstacle to
estimating reliable fat fraction in the spine region. A recent 3T study has reported
that B
0 variations between inspired and expired conditions were
measured up to 74 Hz in the cervical spine.
3 In this study, we address
the effects of respiration-induced B
0 variations on fat
quantification of the bone marrow in the lumbar spine. Furthermore, we
compensate these effects using simultaneously acquired navigator echoes.
Methods
Eight healthy volunteers (IRB-approved) were scanned at 3T MRI. For bone
marrow fat quantification, 3D multi-echo GRE was acquired with following
parameters: TR = 17 ms, # of echoes = 7, TE1 = 1.7 ms, ΔTE = 1.7 ms, 7th echo was used as a 1D (SI
direction) navigator without phase encoding,
4 flip angle = 10 °, voxel size = 1.2×1.2×2.4 mm
3, 48 sagittal slices, scan time = 2
min. Bipolar readout gradients were used for acquisition efficiency and phase/magnitude
errors due to bipolar acquisitions were corrected before fat quantification.
5
Temporal B
0 variations in
the readout direction (superior to inferior) were estimated by calculating
phase differences between navigator echoes after 1D Fourier transform. Before
calculation, navigator echo data were low-pass filtered (0 to 2 Hz) temporally
to reduce high-frequency variations (not related to respiration). By the aid of
the reconstructed images (1st to 6th echoes), each
vertebral level (from L1 to L5) was manually defined in the navigator echo data
(Fig. 1A). For each vertebral level, standard deviation of temporal B
0
variations was calculated for comparison. By utilizing the estimated B
0
variations in the readout direction, each k-space line was compensated before
3D FFT.
4
For both uncompensated and
compensated complex images, fat quantification was performed using T
2*-IDEAL technique with 6 echoes.
6 Vertebral ROIs were manually drawn on the magnitude
images, and then ROI-averaged fat fractions were calculated for five vertebral levels.
For results of 8 subjects, a pair-wise Student’s t-test was performed between
the uncompensated and compensated.
Results
Figure 1 shows the estimated B
0 variations induced from
navigator echo data. An increase of B
0 variations from L5 to L1 was
observed for all subjects. These B
0 variations result in signal
dispersions in gradient echo images, particularly, in late TE images. After
compensation using navigator echo data, the effects of the B
0
variations were remarkably reduced in magnitude images (Fig. 2). The calculated
fat fractions show significant differences (p<.05) in L1 and L3 (Fig. 3).
Discussion
We have
investigated the effects of respiration-induced B
0 variations on fat
quantification in the lumbar spine. The results of this study raise the need
for considering respiration-induced B
0 variations for accurate fat
quantification in the lumbar spine. The use of navigator echo data can be an
effective way for the reduction of the effects of respiratory motion on the
quantification because it just requires an TR increase of a few milliseconds.
Acknowledgements
No acknowledgement found.References
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