In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI

详细信息    查看全文

• 作者：Maira Tariq (20)
  Torben Schneider (21)
  Daniel C. Alexander (20)
  Claudia A. M. Wheeler-Kingshott (21)
  Hui Zhang (20)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8675
• 期：1
• 页码：241-248
• 全文大小：2,492 KB
• 参考文献：1. Conel, J.L.: The postnatal development of the human cerebral cortex. Harvard University Press, Cambridge (1939)
  2. Jacobs, B., Schall, M., Prather, M., Kapler, E., Driscoll, L., Baca, S., Jacobs, J., Ford, K., Wainwright, M., Treml, M.: Regional dendritic and spine variation in human cerebral cortex: a quantitative Golgi study. Cerebral Cortex聽11, 558鈥?71 (2001) CrossRef
  3. Fiala, J.C., Spacek, J., Harris, K.M.: Review: Dendritic spine pathology: Cause or consequence of neurological disorders. Brain Research Reviews聽39, 29鈥?4 (2002) CrossRef
  4. Basser, P.J., Mattiello, J., LeBihan, D.L.: MR diffusion tensor spectroscopy and imaging. Biophysical Journal聽66, 259鈥?67 (1994) CrossRef
  5. Jespersen, S.N., Kroenke, C.D., 脴stergaard, L., Ackerman, J.J.H., Yablonskiy, D.A.: Modeling dendrite density from magnetic resonance diffusion measurements. NeuroImage聽34, 1473鈥?486 (2007) CrossRef
  6. Jespersen, S.N., Bjarkam, C.R., Nyengaard, J.R., Chakravarty, M.M., Hansen, B., Vosegaard, T., 脴stergaard, L., Yablonskiy, D.A., Nielsen, N.C., Vestergaard-Poulsen, P.: Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy. NeuroImage聽49, 205鈥?16 (2010) CrossRef
  7. Zhang, H., Schneider, T., Wheeler-Kingshott, C.A.M., Alexander, D.C.: NODDI: Practical / in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage聽61, 1000鈥?016 (2012) CrossRef
  8. Winston, G.P., Micallef, C., Symms, M.R., Alexander, D.C., Duncan, J.S., Zhang, H.: Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy. Epilepsy Research聽108, 336鈥?39 (2014) CrossRef
  9. Kunz, N., Zhang, H., Vasung, L., O鈥橞rien, K.R., Assaf, Y., Lazeyras, F., Alexander, D.C., H眉ppi, P.S.: Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. NeuroImage聽96, 288鈥?99 (2014) CrossRef
  10. Mardia, K.V., Jupp, P.E.: Directional statistics. Wiley series in probability and statistics. John Wiley & Sons, Ltd. (1990)
  11. Sotiropoulos, S.N., Behrens, T.E., Jbabdi, S.: Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI. NeuroImage聽60, 1412鈥?425 (2012) CrossRef
  12. Jespersen, S.N., Leigland, L.A., Cornea, A., Kroenke, C.D.: Determination of axonal and dendritic orientation distributions within the developing cerebral cortex by diffusion tensor imaging. IEEE Transactions in Medical Imaging聽31, 16鈥?2 (2012) CrossRef
  13. Rowe, M.C., Zhang, H., Oxtoby, N., Alexander, D.C.: Beyond crossing fibers: Tractography exploiting sub-voxel fibre dispersion and neighbourhood structure. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Z枚llei, L. (eds.) IPMI 2013. LNCS, vol.聽7917, pp. 402鈥?13. Springer, Heidelberg (2013) CrossRef
  14. Kaden, E., Kn枚sche, T.R., Anwander, A.: Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging. NeuroImage聽37, 474鈥?88 (2007) CrossRef
  15. Westin, C.-F., Maier, S.E., Mamata, H., Nabavi, A., Jolesz, F.A., Kikinis, R.: Processing and visualization for diffusion tensor MRI. Medical Image Analysis聽6, 93鈥?08 (2002) CrossRef
  16. Ferizi, U., Schneider, T., Tariq, M., Wheeler-Kingshott, C.A.M., Zhang, H., Alexander, D.C.: The importance of being dispersed: A ranking of diffusion MRI models for fibre dispersion using / in vivo human brain data. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part I. LNCS, vol.聽8149, pp. 74鈥?1. Springer, Heidelberg (2013) CrossRef
  17. Feinberg, D.A., Moeller, S., Smith, S.M., Auerbach, E., Ramanna, S., Gunther, M., Glasser, M.F., Miller, K.L., Ugurbil, K., Yacoub, E.: Multiplexed Echo Planar Imaging for sub-second whole brain fMRI and fast diffusion imaging. PLoS One聽5, e15710 (2010)
  
• 作者单位：Maira Tariq (20)
  Torben Schneider (21)
  Daniel C. Alexander (20)
  Claudia A. M. Wheeler-Kingshott (21)
  Hui Zhang (20)
  
  20. Centre for Medical Image Computing and Department of Computer Science, University College London, United Kingdom
  21. NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, United Kingdom
  
• ISSN：1611-3349

文摘

We present a technique for mapping dispersion anisotropy of neurites in the human brain in vivo. Neurites are the structural substrate of the brain that support its function. Measures of their morphology from histology provide the gold standard for diagnosing various brain disorders. Some of these measures, e.g. neurite density and orientation dispersion, can now be mapped in vivo using diffusion MRI, enabling their use in clinical applications. However, in vivo methods for estimating more sophisticated measures, such as dispersion anisotropy, have yet to be demonstrated. Dispersion anisotropy allows more refined characterisation of the complex neurite configurations such as fanning or bending axons; its quantification in vivo can offer new imaging markers. The aim of this work is to develop a method to estimate dispersion anisotropy in vivo. Our approach builds on the Neurite Orientation Dispersion and Density Imaging (NODDI), an existing clinically feasible diffusion MRI technique. The estimation of dispersion anisotropy is achieved by incorporating Bingham distribution as the neurite orientation distribution function, with no additional acquisition requirements. We show the first in vivo maps of dispersion anisotropy and demonstrate that it can be estimated accurately with a clinically feasible protocol. We additionally show that the original NODDI is robust to the effects of dispersion anisotropy, when the the new parameter is not of interest.