Anna N Foster1, Jaume Coll-Font1,2,3, Or Perlman2,3, Shi Chen1, Robert A Eder1, Christian T Farrar2,3, and Christopher T Nguyen1,2,3,4
1Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Health Science Technology, Harvard-MIT, Cambridge, MA, United States
Synopsis
To date, it is unclear if diffusion increases in skeletal
muscles during exercise. We measured diffusion, perfusion, perfusion fraction,
and capillary blood flow in the calf during continuous exercise from IVIM fits
on both standard (M0) and second order motion-compensated (M2) DWI sequences combined
with motion artifact rejection. As diffusion estimates from M2 proved unchanged
by artifact rejection at various thresholds, it was used in choosing an outlier
threshold. Without artifact rejection, M0 reported diffusion increases. Once
artifacts were removed from M0 using this threshold, it measured similar
diffusion values to M2 and neither sequence showed diffusion increases during
exercise.
Background
Intravoxel incoherent motion (IVIM) imaging is a
contrast-free MR technique to measure perfusion and diffusion in tissue1-5.
For cardiac and circulatory diseases, IVIM can be used to assess
microcirculatory changes in the muscle during stress tests like exercise6-8. During exercise, perfusion and capillary blood flow are reported to increase2-5.
Previous studies have also shown diffusion increases2,4-5, while
others reported no diffusion changes3,5, both during and after
intermittent exercise. These discrepancies may be partly explained by the
sensitivity of standard DWI sequences to motion, which may worsen for large
b-values and therefore result in over-estimations of diffusion. Second order motion
compensated (M2) DWI sequences, meanwhile, have been shown to be more robust to
motion, although they are also insensitive to perfusion9-10. Here, we
used both standard (M0) and M2 DWI sequences with IVIM to assess diffusion in
the calf during continuous exercise and compared the results using different
artifact rejection levels.Methods
IVIM-MRI of the calf was performed on 7 healthy
volunteers (3F, average age 39) in a 3T Prisma MRI scanner with a dedicated
single-channel leg coil. Each subject was scanned with an M0 and an M2 sequence
during rest-- before (PRE) and after (POST) exercise-- and while repeatedly
pressing a weighted-pedal (DURING). DWI were acquired for 10 b-values (0,10,20,30,50,80,120,200,300,500
s/mm2) over 3 orthogonal directions x4 averages. Image resolution
was 2.5x2.5x5mm3, matrix size 64x52, 12 slices, pixel bandwidth 2005
Hz/pixel, TE=72ms. After acquisition, the DURING and POST DWI were registered
to the corresponding PRE images, compensating for tissue displacement. Artifact
rejection was then performed on DURING images by comparing their signal to the
average of the corresponding PRE images with matched b-values. An image was determined
to have artifacts, and removed, when the difference in signal was above a predetermined
threshold, which varied between 0 and 50%. All remaining DWI were then averaged
for each b-value over gradient directions and voxels within each muscle group--
Gastrocnemius, Soleus, Tibialis Posterior, Tibialis Anterior, and ‘Other’.
These were manually segmented with Seg3D11 using M0 PRE images.
Finally, the IVIM model was fit to the average M0 and M2 data, both before and
after artifact rejection, for each muscle group using a two-stage approach
implemented in DIPY (https://dipy.org). Perfusion (D*), diffusion (D), and
perfusion fraction (f) were obtained from the fitted IVIM model and capillary
blood flow (CBF) was calculated as (f x D*). Parameters were compared with Wilcoxon signed-rank tests and significance threshold
0.05.Results
Example MR images for
chosen b-values (10, 120, and 500 s/mm2) are included in Figure 1.
As b-value increased, the signal intensity decreased for both sequences, while
the number of artifacts increased in M0. M2 had fewer artifacts and they were
consistent across b-values.
Dependence of the
diffusion coefficient during exercise on the outlier threshold for M0 and M2
can be found in Figure 2A. M2 provided consistent D estimates for all thresholds
>20%. Meanwhile, D constantly increased with the threshold for M0. This
increase briefly stabilized for thresholds 20-30%, with median values reflecting
those of M2. Stricter thresholds <20% resulted in decreased diffusion for
both sequences and larger standard deviations for M2, likely from many images
being removed (Figure 2B). Given that results of M2 proved stable to motion, and
that M0 gave a similar result as M2 for thresholds 20-30%, we chose the 20%
threshold for the following experiments. Figure 2C then compares diffusion with
and without this outlier threshold applied. Removing artifacts improved the
standard deviation for M2 but did not change the median (p=0.578). In contrast,
removing artifacts in M0 significantly reduced the median and standard
deviation of D for all muscles (p<0.05) except the Gastrocnemius or Tibialis
muscles (p=0.078). To further illustrate the effects of artifacts, Figure 3
shows the average signal and IVIM fitted curves with and without artifact
correction. The presence of artifacts in M0 DURING resulted in lower signal for
high b-values. This signal difference may lead to the overestimation of D seen
in Figure 2C.
Finally, IVIM parameter
changes are shown over different exercise states (PRE, DURING, and POST) in
Table 1 (all muscle groups) and Figure 4 (example plots for the Gastrocnemius).
M2 resulted in relatively constant values for all parameters. D did not change except
in the Gastrocnemius (p<0.05), D* had increased standard deviation but did
not show any significant difference (p=0.655), and f presented a slight increase
(p<0.05). Meanwhile, M0 resulted in constant diffusion (p=0.469) except in
the Tibialis Anterior (p<0.05), moderate increases in D* (p<0.05) and standard
deviations, and increases in f (p<0.05). Consequently, M0 produced an
increase in CBF (p<0.05) while M2 showed a more modest increase (p<0.05) during exercise.Conclusion
Diffusion estimates obtained with a motion-compensated
M2 DWI sequence were largely unchanged during exercise and demonstrated minimal
bulk motion-induced artifacts. Furthermore, M2 can provide a guide to choose an artifact
rejection threshold. Once artifacts were removed, M0 also presented no
increases in diffusion during exercise for most muscles, while remaining
sensitive to perfusion changes. These results are in accordance with other
studies2-5, suggesting M0 IVIM imaging combined with artifact
rejection can correctly measure diffusion, perfusion, perfusion fraction, and
capillary blood flow during continuous exercise. Acknowledgements
This work was partially funded by the National Institutes of Health
awards R01HL151704, R01HL159010, and R01HL135242.References
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