Martijn Froeling1, Gustav J Strijkers2, Laura W M Vergoossen3, Eibert A ten Hove3, Aart J Nederveen4, Tim Leiner1, and Peter R Luijten1
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Biomedical Engineering & Physics, AMC Amsterdam, Amsterdam, Netherlands, 3Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 4Radiology, AMC Amsterdam, Amsterdam, Netherlands
Synopsis
The aim of this
study was to provide a comprehensive description of whole heart in-vivo myocardial
fiber architecture using the fiber architecture matrix, and to validate results
using ex-vivo and simulated data. We showed that whole heart fiber architecture described by the FAM can
be obtained from in-vivo DWI.
However, compared to ex-vivo data the direction of ε2 and ε3
are exchanged.Introduction
Although the quality of in-vivo human cardiac diffusion
weighted imaging (DWI) has increased considerably over the last years, most
knowledge about whole heart myocardial architecture results from ex-vivo
experiments (1). In-vivo experiments are
typically limited to 1 to 3 slices located in the mid-ventricle with only few
studies showing whole heart coverage (2,3). The aim of this study was to provide a comprehensive description of
whole heart in-vivo myocardial fiber architecture using the fiber architecture
matrix (FAM) (4), and to validate results using
ex-vivo and simulated data.
Methods
Nine healthy volunteers (5 Female, mean age 24 [22-34])were imaged
with a 3T scanner (Philips, Achieva, Release 5.1.7) using a 32-channel cardiac
coil. DWI was performed using a cardiac triggered SE-EPI sequence in free
breathing with asymmetric bipolar gradients (5) and additional flow
compensation (2). The b-values were 0, 10, 20,
30 ,50, 100, 200 and 400 s/mm2 with 6, 3, 3, 3, 3, 3, 3, and 24 gradient-directions,
respectively. Other imaging parameters were; TR: 14 heart-beats, FOV: 280x150
mm2, slices: 14, voxel size: 7x2.5x2.5 mm3, acquisition
matrix: 112x48, SENSE: 2.5, partial Fourier: 0.85, trigger delay: 220 ms, and
acquisition time: 12 min. Ex-vivo DWI data was acquired using a multi shot
STEAM-EPI sequence using Stejskal-Tanner gradients. In total twelve datasets of
formalin fixed porcine hearts were acquired (6): nine with a “low” resolution
of 6x2x2 mm3 and three with a “high” resolution of 2x1x1 mm3
with b-values of 500, 1000, 2000 and 3000 s/mm2 and 30 gradient-directions
per b-value.
Data processing was done using DTITools (Mathematica 10) and
comprised the following steps: registration to correct for subject motion and
eddy current deformations (in vivo: 2D b-spline, ex-vivo: 3D affine), Rician
noise suppression, IVIM correction (7), tensor calculation using WLLS,
manual segmentation of the ventricles (Figure
1A), calculation of the local myocardial coordinate system (LMCS) (Figure 1), voxel wise FAM calculation (4) and whole heart fiber
tractography of all three eigenvectors (ε1
ε2 and ε3) using the vIST/e toolbox (Figure 2). The FAM is defined as the angle between the LMCS and the
projection of the eigenvalues along the axes of the LMCS (see Figure 3). Transmural profiles (180 radial
profiles per slice) of the FAM were obtained for 15 points along the myocardial
wall using first order interpolation along the radial axes of the LMCS (green
vectors in Figure 1C). To validate
the obtained transmural profiles, they were fitted using three quadratic
transmural functions describing the transmural rotation around the three axes
of the LMCS.
Results
Figure 2 shows
whole heart fiber tractography of the eigenvectors for one high resolution
ex-vivo (top) and one in-vivo dataset (bottom). One can appreciate similarity, with
the exception of the direction of the second and third eigenvector, which are
switched ex-vivo compared to in-vivo. The change in eigenvectors between the
in-vivo and ex-vivo data is further confirmed by evaluation of the FAM maps
which are shown in
Figure 4. The
high and low spatial resolution ex vivo cases show identical results (
Figure 4A and
B respectively). FAM maps of the in vivo data are also identical
with the exception of those belonging to
ε2
and
ε3. Transmural FAM
profiles of all datasets are shown in
Figure
5. To allow comparison between the angles of the second and third
eigenvectors of the in-vivo and ex vivo data, the profiles of the second and
third eigenvectors of the in-vivo data are switched (blue lines in the bottom
two rows).
Figure 5 shows is great
similarity between in-vivo and ex-vivo transmural FAM profiles. Simulated
transmural FAM profiles are also shown in
Figure
5 and demonstrate that the profiles can be approximated using a simple
quadratic transmural rotation along the LMCS (see
Figure 3 top left). To clarify the FAM profiles, transmural fiber
tractography of a high resolution ex-vivo data is compared to those obtained
from the simulation (
Figure 3).
Discussion and Coclusion
In this study we showed that whole heart fiber architecture
described by the FAM can be obtained from in-vivo DWI. However, compared to ex-vivo
data the direction of
ε2
and
ε3 are exchanged.
This means that, in contrast to prior ex-vivo studies, in-vivo diffusion along
the radial axis of the heart is greater than the diffusion direction associated
with the sheet structure of the heart. This could be due to residual motion
encoding of the contracting heart along this direction or changes in water
diffusion due to the fixation process commonly used for ex-vivo data.
Acknowledgements
No acknowledgement found.References
1. Rohmer D, Sitek A, Gullberg G. Reconstruction and
visualization of fiber and laminar structure in the normal human heart from ex
vivo diffusion tensor magnetic resonance imaging s(DTMRI) Data. Invest. Radiol.
2007;42:777–789.
2. Froeling M, Strijkers GJ, Nederveen
AJ, Chamuleau SAJ, Luijten PR. Diffusion
Tensor MRI of the Heart – In Vivo Imaging of Myocardial Fiber Architecture.
Curr. Cardiovasc. Imaging Rep. 2014;7:9276. doi: 10.1007/s12410-014-9276-y.
3. Froeling M, Strijkers GJ, Nederveen AJ, Chamuleau SAJ,
Luijten PR. Feasibility of in vivo whole heart DTI and IVIM with a 15 minute acquisition
protocol. J. Cardiovasc. Magn. Reson. 2014;16:O15. doi:
10.1186/1532-429X-16-S1-O15.
4. Mekkaoui C, Nielles-Vallespin S, Jackowski M, Reese TG,
Gatehouse P, Firmin D, Sosnovik DE. Dynamics of the Fiber Architecture Matrix
in the Human Heart In Vivo. In: Proceedings 21st Scientific Meeting,
International Society for Magnetic Resonance in Medicine. Vol. 21. ; 2013. p.
581.
5. Stoeck CT, von Deuster C, Genet M, Atkinson D, Kozerke S.
Second-order motion-compensated spin echo diffusion tensor imaging of the human
heart. Magn. Reson. Med. 2015;000:n/a–n/a. doi: 10.1002/mrm.25784.
6. Froeling M, Mazzoli V, Nederveen AJ, Luijten PR, Strijkers
GJ. Ex vivo cardiac DTI: on the effects of diffusion time and b-value. J.
Cardiovasc. Magn. Reson. 2014;16:P77. doi: 10.1186/1532-429X-16-S1-P77.
7. Froeling M, Luijten PR, Leemans A. Correcting for
perfusion and isotropic free diffusion in diffusion weighted imaging and DTI
and CSD analysis. In: Proceedings 22nd Scientific Meeting, International
Society for Magnetic Resonance in Medicine. Toronto; 2015. p. 4469.