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Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 (MICCAI 2020)

Abstract

Diffusion MRI (dMRI) is typically time consuming as it involves acquiring a series of 3D volumes, each associated with a wave-vector in q-space that determines the diffusion direction and strength. The acquisition time is further increased when “blip-up blip-down” scans are acquired with opposite phase encoding directions (PEDs) to facilitate distortion correction. In this work, we show that geometric distortions can be corrected without acquiring with opposite PEDs for each wave-vector, and hence the acquisition time can be halved. Our method uses complimentary rotation-invariant contrasts across shells of different diffusion weightings. Distortion-free structural T1-/T2-weighted MRI is used as reference for nonlinear registration in correcting the distortions. Signal dropout and pileup are corrected with the help of spherical harmonics. To demonstrate that our method is robust to changes in image appearance, we show that distortion correction with good structural alignment can be achieved within minutes for dMRI data of infants between 1 to 24 months of age.

This work was supported in part by NIH grants (NS093842, AG053867, EB006733, MH104324, and MH110274) and the efforts of the UNC/UMN Baby Connectome Project Consortium.

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References

  1. Andersson, J.L., Skare, S., Ashburner, J.: How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage 20(2), 870–888 (2003). https://doi.org/10.1016/S1053-8119(03)00336-7

    Article  Google Scholar 

  2. Avants, B., Epstein, C., Grossman, M., Gee, J.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12(1), 26–41 (2008). https://doi.org/10.1016/j.media.2007.06.004

    Article  Google Scholar 

  3. Ben-Amitay, S., Jones, D.K., Assaf, Y.: Motion correction and registration of high b-value diffusion weighted images. Magn. Reson. Med. 67, 1694–1702 (2012). https://doi.org/10.1002/mrm.23186

    Article  Google Scholar 

  4. Bhushan, C., Joshi, A.A., Leahy, R.M., Haldar, J.P.: Improved b\(_{0}\)-distortion correction in diffusion MRI using interlaced q-space sampling and constrained reconstruction. Magn. Reson. Med. 72, 1218–1232 (2014). https://doi.org/10.1002/mrm.25026

    Article  Google Scholar 

  5. Embleton, K.V., Haroon, H.A., Morris, D.M., Ralph, M.A.L., Parker, G.J.: Distortion correction for diffusion-weighted MRI tractography and fMRI in the temporal lobes. Hum. Brain Mapp. 31(10), 1570–1587 (2010). https://doi.org/10.1002/hbm.20959

    Article  Google Scholar 

  6. Frau-Pascual, A., Fogarty, M., Fischl, B., Yendiki, A., Aganj, I.: Quantification of structural brain connectivity via a conductance model. NeuroImage 189, 485–496 (2019). https://doi.org/10.1016/j.neuroimage.2019.01.033

    Article  Google Scholar 

  7. Holland, D., Kuperman, J.M., Dale, A.M.: Efficient correction of inhomogeneous static magnetic field-induced distortion in echo planar imaging. NeuroImage 50(1), 175–183 (2010). https://doi.org/10.1016/j.neuroimage.2009.11.044

    Article  Google Scholar 

  8. Howell, B.R., et al.: The UNC/UMN baby connectome project (BCP): an overview of the study design and protocol development. NeuroImage 185, 891–905 (2019). https://doi.org/10.1016/j.neuroimage.2018.03.049

    Article  Google Scholar 

  9. Irfanoglu, M.O., Modi, P., Nayak, A., Hutchinson, E.B., Sarlls, J., Pierpaoli, C.: DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions. NeuroImage 106, 284–299 (2015). https://doi.org/10.1016/j.neuroimage.2014.11.042

    Article  Google Scholar 

  10. Jezzard, P., Balaban, R.S.: Correction for geometric distortion in echo planar images from B0 field variations. Magn. Reson. Med. 34(1), 65–73 (1995). https://doi.org/10.1002/mrm.1910340111

    Article  Google Scholar 

  11. Kunz, N., et al.: Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. NeuroImage 96, 288–299 (2014). https://doi.org/10.1016/j.neuroimage.2014.03.057

    Article  Google Scholar 

  12. Kybic, J., Thevenaz, P., Nirkko, A., Unser, M.: Unwarping of unidirectionally distorted EPI images. IEEE Trans. Med. Imaging 19(2), 80–93 (2000). https://doi.org/10.1109/42.836368

    Article  Google Scholar 

  13. Morgan, P.S., Bowtell, R.W., McIntyre, D.J., Worthington, B.S.: Correction of spatial distortion in EPI due to inhomogeneous static magnetic fields using the reversed gradient method. J. Magn. Reson. Imaging 19(4), 499–507 (2004). https://doi.org/10.1002/jmri.20032

    Article  Google Scholar 

  14. Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P., Huang, H.: Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. NeuroImage 185, 836–850 (2019). https://doi.org/10.1016/j.neuroimage.2018.04.017

    Article  Google Scholar 

  15. Smith, S.M., et al.: Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23, S208–S219 (2004). https://doi.org/10.1016/j.neuroimage.2004.07.051

    Article  Google Scholar 

  16. Tao, R., Fletcher, P.T., Gerber, S., Whitaker, R.T.: A variational image-based approach to the correction of susceptibility artifacts in the alignment of diffusion weighted and structural MRI. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 664–675. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02498-6_55

    Chapter  Google Scholar 

  17. Techavipoo, U., et al.: Toward a practical protocol for human optic nerve DTI with EPI geometric distortion correction. J. Magn. Reson. Imaging 30(4), 699–707 (2009). https://doi.org/10.1002/jmri.21836

    Article  Google Scholar 

  18. Yang, D., Li, H., Low, D., Deasy, J., Naqa, I.E.: A fast inverse consistent deformable image registration method based on symmetric optical flow computation. Phys. Med. Biol. 53(21), 6143–6165 (2008). https://doi.org/10.1088/0031-9155/53/21/017

    Article  Google Scholar 

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Correspondence to Pew-Thian Yap .

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Ahmad, S. et al. (2020). Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. In: Martel, A.L., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science(), vol 12262. Springer, Cham. https://doi.org/10.1007/978-3-030-59713-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-59713-9_4

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