Comparing MRI texture heterogeneity with MTR and myelin water fraction as measures of myelin integrity
Tim Luo1, Shrushrita Sharma2, Mark Polivchuk3, Peng Zhai4, and Yunyan Zhang4

1Bachelor of Health Sciences, University of Calgary, Calgary, AB, Canada, 2Biomedical Engineering Program, University of Calgary, Calgary, AB, Canada, 3Computer Science, University of Calgary, Calgary, AB, Canada, 4Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada

Synopsis

Changes in myelin integrity are associated with many neurological diseases. We acquired 9.4T MRI from healthy mouse brain to evaluate the utility of texture heterogeneity in T2-weighted MRI for assessing myelin integrity, in comparing with proposed measures including magnetic transfer ratio and myelin water fraction. Measurements were focused on the corpus callosum, with both anatomical (genu, body, splenium) and hemispheric (left, center, right) locations evaluated. All 3 methods showed the uniformity of myelin in corpus callosum between hemispheres, and no significant differences between anatomical locations were detected. Texture heterogeneity showed the best consistency between animals and deserves further verification.

Purpose

To evaluate the utility of using texture heterogeneity in T2-weighted MRI to assess myelin integrity as compared to magnetization transfer ratio (MTR) and myelin water fraction (MWF), with validations by the corpus callosum in healthy mouse brain.

Methods

We acquired brain MR images from a 9.4T scanner (Brucker BioSpin, Ettlingen, Germany) from 7 healthy mice in vivo. Whole brain imaging was conducted for T2-weighted MRI using a RARE sequence (TR/TE = 4000/15ms; slice thickness = 0.5mm, 12 averages; matrix = 256x256, 25 slices) and for MT imaging (TR/TE =5000/15ms; MT power = 5 mT/m; pulse number = 60; matrix = 128x128; and slice thickness = 1mm). Single-slice multi-echo T2 MRI was acquired from the central location of T2 imaging (TR/TE = 3000/6ms; matrix = 128x128; slice thickness = 1mm, 128 echoes). Our measurements were focused on the corpus callosum (CC) as this is the largest inter-hemispheric white matter structure with highly organized white matter tracts. MTR was measured as the signal intensity ratio between images with and without off-resonance pulses [1], MWF as the fraction of water content with relaxation equal to or shorter than 40 ms using an open-source software [2] and texture heterogeneity as the similarity of multi-scale MRI spectra localized at individual image voxels using a spatial frequency-based approach [3]. Lower heterogeneity reflects greater coherency.

Imaging outcomes were recorded as per anatomy (genu, body and splenium) and hemispheric locations (right, center, and left) of the corpus callosum. Based on an established atlas [4] (Figure 1), we identified 5 slices in T2-weighted MRI to examine the corpus callosum: 1 slice for the genu, 3 for the body, and 1 for the splenium (Figure 2). Regions of interest (ROIs) were drawn along the boundary of the corpus callosum using ImageJ (NIH, USA) in selected image slices. Identified image and ROIs were then matched to the corresponding locations in MTR and MWF images for quantification. Outcome differences were evaluated using a mixed-effect modeling method that accommodated the variances both between animals and between imaging slices within an animal. For MWF, only differences between hemispheric locations were evaluated as only one slice was acquired to minimize the imaging time.

Results

We assessed 35 images with 105 ROIs in T2-weighted MRI that included 21 ROIs for the genu, 63 for the body, and 21 for the splenium. Of the 35 images, 21 were corresponded to the MTR maps and that identified the body and splenium only, due to differences in imaging protocols (Figures 3). We found that there was no significant difference between left, central, and right ROIs of the corpus callosum using any method (p>0.05). While MTR showed a trend to difference between the body and splenium, it did not reach significance and there was no difference between anatomical locations of the corpus callosum in texture heterogeneity. Between animals, texture heterogeneity exhibited the smallest variance between animals, with the mean and standard deviation (bracket) ranged from 0.176 (0.06) to 0.192 (0.05). The range of MTR was intermediate, from 0.473 (0.04) to 0.531 (0.02), and MWF had the largest variability, ranging from 0.403 (0.02) to 0.913 (0.02) (Figure 4). There were no significant outliers in any of these measurements or in any animal.

Discussions

Changes in myelin integrity are associated with many neurological diseases that demand reliable assessment. MTR and MWF are two of the most recognized measures of myelin content, but both need additional pulse sequences for acquisition. Based on clinical scans, texture heterogeneity measures the organization of tissue structure indicated by the distribution pattern (texture) of MRI voxels. Previously, studies showed that texture heterogeneity derived from T2-weighted MRI correlated with the severity of pathology in patients with multiple sclerosis, and that the relationship was stronger with myelin content than with axonal injury and inflammation. In this study, we found that texture heterogeneity showed a similar trend as MTR but with less variability between animals, consistent with the uniformity of myelin as expected in healthy white matter. MWF showed a large variability between animals, likely due to the small number of MRI slices or the quality of multi-echo images acquired that require further confirmation.

Conclusion

All three methods confirmed the uniformity of myelin structure in the corpus callosum between hemispheres. Given the advantage of having high consistency between animals, texture heterogeneity deserves further verification as an alternative measure of myelin integrity using standard MRI scans.

Acknowledgements

We thank the Summer Studentship support (Luo) from the O’Brien Centre, Bachelar of Health Sciences, University of Calgary, and the funding supports for the project from the Natural Sciences and Engineering Council of Canada, MS Society of Canada, and Alberta Innovates – Health Solutions, Alberta, Canada.

References

1. Chen JT, Collins DL, Atkins HL, Freedman MS, Arnold DL. Magnetization transfer ratio evolution with demyelination and remyelination in multiple sclerosis lesions. Annals of neurology. 2008 Feb;63(2):254-62.

2. Bjarnason TA, Mitchell JR. AnalyzeNNLS: magnetic resonance multiexponential decay image analysis. Journal of magnetic resonance (San Diego, Calif : 1997). 2010 Oct;206(2):200-4.

3. Zhang Y, Moore GR, Laule C, et al. Pathological correlates of MRI texture heterogeneity in multiple sclerosis. Annals of neurology. 2013;74:91-9.

4. Allen Brain Atlas: Mouse Brain. Atlas.brain-map.org.

Figures

Corpus callosum atlas used in this study. Shown are the dividing approaches for anatomical regions: genu, body, and splenium (top), and for hemispheric locations (bottom): left, center, and right, of the corpus callosum.

Chosen corpus callosum slices in T2-weighted MRI based on the atlas shown in Figure 1. Measurements from the 3 body slices were averaged for each animal.

Example outcomes from healthy mouse brain focusing on the corpus callosum (yellow outlines). Same areas were assessed using texture heterogeneity (colour) based on T2-weighted MRI (top left), myelin water fraction (MWF; multi-echo T2), and magnetization transfer ratio (MTR).

Quantitative results from texture heterogeneity, magnetization transfer ratio (MTR), and myelin water fraction (MWF). Shown are mean and standard deviations.



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