Comprehensive comparison of in- and ex-vivo whole heart fiber architecture: similar yet different
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.

Figures

Figure 1: Automated calculation of the local myocardial coordinate system using manually segmented masks (A). Estimation of the central axis of the left ventricle with a cubic polynomial (B). local myocardial coordinate system (C) estimated by calculating the first order Gaussian derivative in 3D of a wall distance map.

Figure 2: Whole heart fiber tractography of all three eigenvectors (ε1 ε2 and ε3) of an ex-vivo porcine heart and an in-vivo human heart color coded for the transmural helix angle. The first eigenvector describes myocyte orientation. The second eigenvector of the ex vivo heart and the third eigenvector of the in-vivo heart follow the transmural normal direction.

Figure 3: Simulated transmural orientation of the eigenvectors using three quadratic transmural functions (top left) compared to local transmural fiber tractography of a high resolution porcine heart. Fiber tracts and simulated vectors are color coded for their transmural position (red, green and blue indicates endocardial and gray indicates epicardial)

Figure 4: Fiber architecture matrix of a high resolution (A) and a low resolution (B) ex-vivo porcine heart, and an in-vivo human heart (C). The ex- and in-vivo FAM show great resemblance, except those of ε2 and ε3 which are switched. (For each row v = ε12 or ε3 as indicated)

Figure 5: Average transmural profiles of the FAM. The dashed lines indicate the 95% confidence interval over all datasets. Simulated data of the transmural FAM is shown in black. To allow comparison profiles those belonging to the second and third eigenvector of the in-vivo data are switched indicated by the blue arrow.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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