The DTI data was successfully coregistered on the submillimeter T2 data using ANTs’ SyN non-rigid registration. Tractography was

successfully performed in diffusion space and coregistered to T2 space using ANTs SyN. Non-rigid coregistration methods were able to

correct distortions in DTI datasets [12] and some coregistrationapproaches warped the orientation of the diffusion tensors

incorrectly [13]. The best coregistration method for DTI data was ANTs SyN algorithm as Klein et al. [11] concluded. Whole brain

deterministic tractography with 100,000 tracts was completed in diffusion space, as recommended by [20], and then coregistered to

T2 space.

Noriana Jakopin, njakopi1@umd.edu, Science Discovery and the Universe, Biological Sciences – Physiology and Neurobiology

Future studies include completing tractography for the MIDA model in specific regions of interest such as between basal ganglia

structures. We then plan to use these tracts with computational modeling platforms in order to (1) evaluate how the anisotropic

nature of brain tissue affect the functioning of neurological devices such as deep brain stimulators and (2) use as a guide for the

placement of computational neuron models into the model. The region of the basal ganglia was chosen as it is highly implicated in a number of neurodegenerative and neurodevelopmental diseases

which neurological devices aim to treat.

Research Question Methods

Data & Analysis Discussion and Conclusion

References

Future Directions

Disclaimer: The mention of products, their sources, or their use in connection with materialreported here in is not to be construed as either an actual or implied endorsement of suchproducts by the Department of Health and Human Services.

Hedyeh Javaheri, Nevine M. El-leithy, Maria Ida Iacono, Leonardo M. Angelone, Kyoko Fujimoto

Background

This study was limited in the comparisons of coregistration methods. There was not a very robust quantitative measure to compare and

thus comparisons were mostly qualitative. Tractography parameters used were limited to default parameters.

Limitations

What coregistration method best retains the integrity of white matter fiber

pathways?

Registration Pipeline Tractography Registration

FreeSurfer rigid coregistration

IRTK non-rigid coregistration

ANTs SyN non-rigid coregistration

Did not align two images. Aligned images but was incompatible with tensor reorientation resulting in

a loss of directionality.

Aligned images and reoriented tensors correctly with CC metric.

Left: Whole brain tractography with 100,000 tractsRight: In progress, tracts betweenbasal ganglia structures of the globuspallidus and thalamus

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[11]Klein A, et al., Neuroimage, 46(3): 786-802, 2009[12]Bhushan C, et al., APSIPA Asia Pac, 2012[13]Alexander D.C., IEEE Trans Med Imaging, 2001[14] Avants et al., Neuroimage. 2011[15] Gianelli M. et al., Med Phys., 2011[16] Fujimoto K. et al., J Magn Reson Imaging, 2013[17] Nenadic et al., Psychiatry Res Neuroimaging, 2017[18] Fang-Cheng, et al., IEEE Trans Med Imaging, 2010[19] Fang-Cheng et al., PLoS ONE, 2013[20] Greene et al., Network Neuroscience, 2018

Use of numerical human models in computational modeling allows realistic

evaluation of the devices. The Multimodal Imaging-Based Detailed Anatomical (MIDA) Model of the human head and neck [1] has

the largest number of anatomical structures. MIDA can be functionalized for more robust

modeling. A significant step toward functionalization is inclusion of tractography

through Diffusion Tensor Imaging (DTI).

Image coregistration of diffusion tensor imaging and tractography to structural MRI data of the MIDA Head and Neck Model