Joao Periquito1, Katharina Paul1, Till Huelnhagen1, Yiyi Ji1, Min-Chi Ku1, Sarah Brix2, Kathleen Cantow2, Erdmann Seeliger2, Bert Flemming2, Thomas Gladytz3, Dirk Grosenick3, Andreas Pohlmann1, and Thoralf Niendorf1,4
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine, Berlin, Germany, 2Institute for Vegetative Physiology, Charité – University Medicine Berlin, Berlin, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany, 4Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
Synopsis
T2*
mapping does not fully represent renal tissue oxygenation. Diffusion-weighted
imaging (DWI) can provide information about confounding factors such as tubular
volume fraction, which can be used to correct T2*. By
using a three compartment IVIM model, tubular volume fraction can be mapped with
DWI. The most widely used DWI technique is spin-echo EPI which is sensitive to
magnetic field inhomogeneities and hence prone to geometric distortions. In
this work we propose a diffusion-weighted Rapid Acquisition Relaxation
Enhancement (RARE) variant for DWI of the rat kidney free of geometric
distortions to quantify tubular volume fraction at 9.4 Tesla.
Introduction
The imbalance between oxygen-demand and oxygen-supply
is considered to be a common cause of several kidney diseases. Blood oxygenation
sensitized MRI (T2*mapping) can provide information about
changes in renal oxygenation. Yet, experiments combining MRI and invasive physiological
measurements of the kidney under (patho)physiologically relevant conditions demonstrated
that T2* does not accurately represent renal-tissue oxygenation1,2.
Confounding factors such as tubular volume fraction(tvf) should be taken into
account for the interpretation of renal T2* mapping and
for a reliable information about renal-tissue oxygenation. The tvf is a unique
feature of the kidney, which can go up to 45% in the medulla and can rapidly
change due to alterations in filtration or tubular-outflow3,11.
Diffusion-weighted imaging(DWI) provides a
method for in-vivo evaluation of
tissue-water mobility. Renal-DWI studies commonly use a mono-exponential signal
decay model which does not differentiate between water diffusion in blood and
urine. For quantification of tvf a three-compartment IVIM
(intra-voxel-incoherent-motion) approach is conceptually appealing since it allows the
separation of the true-diffusion coefficient(D), the intermediate-diffusion coefficient(Di*) related
to pseudo-diffusion of flowing tubular fluid and the fast-pseudo-diffusion(Df*) due to blood. A three-compartment IVIM model
can be implemented using the following tri-exponential equation5,6:
$$S(b)=S_0*((1-f_i-f_f)*exp(-b*D)+f_i*exp(-b*D_i^*)+f_f*exp(-b*D_f^*))$$
The contribution of
the signal(fi) coming from the
is related to tvf4-6. En
route to non-invasive assessment of changes in renal tvf this work employs a diffusion-weighted split-echo RARE7
variant in conjunction with a three-compartment IVIM-model.
Methods
The Stejskal-Tanner
preparation was used to introduce diffusion sensitization to a split-echo RARE7 variant to ensure renal-DWI
free-of-geometric distortion. Diffusion-gradients were placed around the
first refocusing RF-pulse. A split-echo acquisition was used to avoid destructive
interferences between even and odd echoes8,9.
The 3-compartment model parameters diffusion (D,Di*,Df*)
and fraction (ff,fi) were obtained by fitting
the data to equation(1). In-vivo
experiments with adult
female Wistar-rats with respiration-triggering were performed at a 9.4Tesla
small-animal scanner (Bruker Biospec, Ettlingen, Germany). Data were reconstructed using custom-made MATLAB code. All images were de-noised with a spatially-adaptive-non-local-means
filter to improve signal-to-noise-ratio. The b-values used were:
0,4,8,12,18,24,34,43,52,75,115,201,300,460,600 and 800s/mm2. Three-orthogonal
diffusion directions were taken and averaged to account for the non-isotropy of
the kidney. A tri-exponential pixelwise fit was employed over the whole kidney and three manually
created ROIs: cortex (red), outer-medulla (green) and inner-medulla (black).Results
Figure
1.a demonstrates excellent image quality, anatomic fidelity free-of-geometric
distortions and ample diffusion contrast in the rat kidney obtained with diffusion
weighted split-RARE using diffusion-sensitization ranging from b=0s/mm2 to b=800s/mm2.
For b<115s/mm2 renal cortex (outer-layer) and renal medulla
(inner-layer) can be conveniently distinguished based upon differences in
water diffusion. A comparison of the mono and tri-exponential fit performed for the ROIs
is provided in Figure 2. For all three ROIs, the R2 regression coefficients
derived from the fit of the three-compartment IVIM-model to the real-data
points are superior to those deduced from the mono-exponential fit. Table 1
surveys the diffusion coefficients obtained from the mono and the
tri-exponential fit of the diffusion-weighted signal decay data for the renal cortex,
outer-medulla and inner-medulla. The pure-diffusion coefficient(D) was 1.6x10-3mm2/s
for the renal cortex, 1.4x10-3mm2/s for the outer-medulla,
and 2.0x10-3mm2/s for the inner-medulla. The volume fraction
of the intermediate water diffusion compartment was 57% for the cortex, 64% for
the outer-medulla and 58% for the inner-medulla. Figure 3 displays a
fractional volume map(fi)
for the intermediate-compartment
together with a map of R2. Discussion and Conclusion
Probing
vascular and tvf of the kidney is essential for detailing and interpreting the
impact of changes in renal hemodynamics, tissue oxygenation, vascular and tvf
under various (patho)physiological conditions. This work examined the
applicability of diffusion-weighted RARE for the assessment of renal tvf. For
this purpose a three-dimensional IVIM-model was used. Our results demonstrate
that the quality of the regression of the fit to the real data is superior for
the tri-exponential compartment model versus a mono-exponential fit. The pure-diffusion
coefficients derived from a mono-exponential model are overestimated, which is
in line with previous studies5. IVIM-parameter for pure-diffusion(D) is closer to the ADC of free-water
(2.13×10-3mm2/s)10
in the inner-medulla, where the volume-fraction of the interstitium is
increased11. The volume of the intermediate-compartment(fi) was found to be larger
than 50% in the cortex and in the medulla. The numbers are larger than the
expected, opening the question if the blood-flow and pseudo-diffusion in the
capillaries are fast enough to allow the separation from the intermediate-compartment
using a tri-exponential model. No values for intrarenal capillary blood-flow
velocity were found in the literature. Further in-vivo studies employing diuretic-challenges and other
pathophysiologically relevant changes in the tvf are needed to validate and understand
the impact of the three-compartment IVIM-model. Acknowledgements
This work was supported in part by the
Bundesministerium für Bildung und Forschung (BMBF, German Federal Ministry for
Education and Research; grants VIP+ 03P00081, VIP+ 03P00082, VIP+ 03P00083).References
[1] Pohlmann et.al. , Acta Physiologica (2013) 8(2) ; [2]
Pohlmann et al. Invest. Radiol. (2014) 49(8):547-60; [3] Niendorf et al. Acta
Physiologica (2014) 213(1):19-38;
[4] Le Bihan et al. Radiology (1988) 168(2):497-505; [5]
van Baalen et al, Magn Reson Med. (2017) 46(1):228-239; [6] van der Bel et al,
European Journal of Radiology (2017) 91(3) 168-174; [7] Hennig J, Magn Reson
Med. (1986) 3 823-833; [8] Norris DG, Magn Reson Med. (1992) 27(1) 142-164; [9]
Schick F, Magn Reson Med. (1997) 38(4) 638-644; [10] Deoni, Magn Reson Med. (2004)
51(2):428-433; [11] Knepper et al. (1977) 12 313-323