Joao Periquito1, Katharina Paul1, Till Huelnhagen1, Yiyi Ji1, Min-Chi Ku1, Kathleen Cantow2, Erdmann Seeliger2, Bert Flemming2, Dirk Grosenick3, Andreas Pohlmann1, and Thoralf Niendorf1,4
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine, Berlin, Germany, 2Institut für Vegetative Physiologie, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Physikalisch-Tecnische 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, which can be
used to correct T2*. The most widely used DWI
technique SE-EPI is sensitive to magnetic field inhomogeneities and hence prone
to geometric distortions. In this work we propose a diffusion-weighted Rapid
Acquisition Refocusing Enhancement (RARE) variant for DWI of the rat kidney
free of geometric distortions. Phantom experiments validated the diffusion
weighting implementation in the common RARE sequence. Ex-vivo and in-vivo
experiments using diffusion-weighted RARE showed no geometric distortions at
9.4 Tesla.
Introduction
The imbalance between oxygen demand and oxygen supply
is believed to be a cause of several kidney diseases. Blood oxygenation
sensitized MRI (T2*mapping) can non-invasively provide information
about changes in renal oxygenation. Yet, previous experiments combining non-invasive
MRI and invasive physiological measurements of the kidney obtained under different
(patho)physiological conditions showed that T2* does not
accurately represent renal tissue oxygenation1,2. Confounding factors
such as tubular volume fraction should be taken in account for the
interpretation of renal T2* mapping and for a reliable
information about renal tissue oxygenation.
Diffusion-weighted imaging (DWI) provides a
non-invasive method for in-vivo
evaluation of tissue water mobility. Water mobility can serve to probe for tissue
alterations at a microscopic level and is sensitive to pathophysiological
changes in renal tubuli. DWI holds the promise to measure relative changes in
tubular volume fraction. Most DWI studies employ Dw-SE EPI or Dw-Spin Echo
pulse sequences. Yet, EPI techniques are sensitive to magnetic field
inhomogeneities resulting in geometric distortions which are pronounced at
ultrahigh magnetic fields (≥7.0 Tesla), while Spin-Echo approaches result in longer
acquisition time. To address this issue we propose a diffusion-weighted split-echo
Rapid Acquisition Refocusing Enhancement (RARE) variant for DWI of the rat kidney
free of geometric distortion. To meet this objective this study compares a diffusion-weighted
split-echo RARE pulse sequence in a diffusion phantom, an ex-vivo rat kidney and an in-vivo
rat against SE-EPI and traditional Spin-Echo with the goal to assess the
feasibility of diffusion-weighted split-echo RARE for renal imaging.Methods
Stejskal-Tanner preparation was used for diffusion
sensitization of RARE3. A pair of diffusion
gradients was added before and after the first refocusing pulse. A split-echo
acquisition was used to deal with the destructive interferences between even and
odd echoes, which is due to unknown phase shifts due to the diffusion
sensitization module4,5. For initial validation a diffusion phantom
was built using a 50ml falcon tube filled with a 5% solution of agarose and
three substances with known diffusion properties: sunflower oil, de-ionized water
and acetone. Phantom experiments were performed to validate b-value and
apparent diffusion coefficient (ADC) map calculation
by comparing the experimental data with the literature. Ex-vivo experiments using a perfused rat kidney embedded in agarose
and in-vivo experiments with an adult female dark
Agouti rat with respiration triggering were performed at a 9.4 Tesla small
animal scanner (Bruker Biospec, Ettlingen, Germany). Data was reconstructed offline
using custom-made MATLAB code. B-values used for ADC validation were: 0, 200,
400, 600 and 800 s/mm2. Geometric distortions between Dw-SE EPI and Dw
Split-RARE were compared and quantified by a center gravity analysis using Dw-Spin
Echo image as a reference6. The matrix size and the FOV were adapted
to have the same resolution (0.12x0.12x2.0 mm3) in all experiments. Results
Figure 1.a shows phantom images obtained with diffusion-weighting
ranging from b=0 s/mm2 to b=800 s/mm2 Figure 1.b depicts
the corresponding ADC map. ADC values were 0.087, 2.180 and 4.700s/mm2 for sunflower oil, water and acetone (Table
1). Figure 2 compares high resolution images using Dw-Spin Echo, Dw-SE
EPI and Dw Split-RARE for an axial slices of the diffusion phantom, a coronal
slices of an ex-vivo rat kidney and a
coronal slice of a rat abdomen in-vivo.
Severe geometric distortions are present in the Dw SE-EPI images. Figure 3
compares the geometric distortions between Dw-SE EPI and Dw Split-RARE using Dw-Spin
Echo image as a reference. Center of gravity analysis revealed a displacement
of the center of gravity in pixels with respect to the Dw-Spin Echo reference
of (2.4 ± 0.2) for Dw Split-RARE, due to point spread function broadening, (13.1 ± 6.2) for Dw-SE EPI in the phantom and (2.8 ± 1.0) for Dw Split-RARE
and (8.6 ± 3.0) for Dw-SE EPI in ex-vivo.Discussion and Conclusion
Diffusion-weighting was successfully implemented in Split-echo
RARE. ADC measurements in a diffusion phantom were in line with literature
values. Unlike Dw-SE EPI, Dw Split-RARE provided high anatomic fidelity. In in-vivo experiments Dw Split-RARE
outperformed Dw-SE EPI by showing both kidneys with no geometric distortions
and Dw-Spin Echo by being less prone to motion artifacts due to
shorter scan time. To conclude, this study demonstrates the feasibility of Dw
Split-RARE at ultrahigh fields for renal imaging. Future in-vivo experiments using (ir)reversible test interventions are
needed to evaluate the performance of this approach for the detection of
changes in the tubular volume fraction.Acknowledgements
This work was funded by a grant from
the German Research Foundation (NI 532/9-1, FOR 1368).References
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