MesoFT: Unifying Diffusion Modelling and Fiber Tracking

详细信息    查看全文

• 作者：Marco Reisert (20)
  V. G. Kiselev (20)
  Bibek Dihtal (20)
  Elias Kellner (20)
  D. S. Novikov (21)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8675
• 期：1
• 页码：201-208
• 全文大小：1,138 KB
• 参考文献：1. Alexander, D.C., Hubbard, P.L., Hall, M.G., Moore, E.A., Ptito, M., Parker, G.J.M., Dyrby, T.B.: Orientationally invariant indices of axon diameter and density from diffusion mri. NeuroImage聽52, 1374鈥?389 (2010) CrossRef
  2. Assaf, Y., Blumenfeld-Katzir, T., Yovel, Y., Basser, P.J.: Axcaliber: a method for measuring axon diameter distribution from diffusion mri. Magn. Reson. Med.聽59, 1347鈥?354 (2008) CrossRef
  3. Bells, S., Cercignani, M., Deoni, S., Assaf, Y., Pasternak, O., Evans, C.J., Leemans, A., Jones, D.K.: Tractometry鈥揷omprehensive multi-modal quantitative assessment of white matter along specific tracts. In: Proc. ISMRM, vol.聽678 (2011)
  4. Fieremans, E., Jensen, J.H., Helpern, J.A.: White matter characterization with diffusional kurtosis imaging. Neuroimage聽58(1), 177鈥?88 (2011) CrossRef
  5. Jones, D.K. (ed.): Diffusion MRI: Theory, Methods and Applications. Oxford University Press (2010)
  6. Malcolm, J.G., Shenton, M.E., Rathi, Y.: Filtered multitensor tractography. IEEE Transactions on Medical Imaging聽29(9), 1664鈥?675 (2010) CrossRef
  7. Mangin, J.: A framework based on spin glass models for the inference of anatomical connectivity from diffusion-weighted mr data - a technical review. NMR Biomed.聽15(7-8), 481鈥?92 (2002) CrossRef
  8. Panagiotaki, E., Schneider, T., Siow, B., Hall, M.G., Lythgoe, M.F., Alexander, D.C.: Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparison. Neuroimage聽59(3), 2241鈥?254 (2012) CrossRef
  9. Reisert, M., Mader, I., Anastasopoulos, C., Weigel, M., Schnell, S., Kiselev, V.: Global fiber reconstruction becomes practical. Neuroimage聽54(2), 955鈥?62 (2011) CrossRef
  10. Sherbondy, A.J., Rowe, M.C., Alexander, D.C.: Microtrack: an algorithm for concurrent projectome and microstructure estimation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part I. LNCS, vol.聽6361, pp. 183鈥?90. Springer, Heidelberg (2010) CrossRef
  
• 作者单位：Marco Reisert (20)
  V. G. Kiselev (20)
  Bibek Dihtal (20)
  Elias Kellner (20)
  D. S. Novikov (21)
  
  20. Department of Diagnostic Radiology, Medical Physics, University Medical Center Freiburg, Breisacher Street 60a, 79106, Freiburg, Germany
  21. Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA
  
• ISSN：1611-3349

文摘

One overarching challenge of clinical magnetic resonance imaging (MRI) is to quantify tissue structure at the cellular scale of micrometers, based on an MRI acquisition with a millimeter resolution. Diffusion MRI (dMRI) provides the strongest sensitivity to the cellular structure. However, interpreting dMRI measurements has remained a highly ill-posed inverse problem. Here we propose a framework that resolves the above challenge for human white matter fibers, by unifying intra-voxel mesoscopic modeling with global fiber tractography. Our algorithm is based on a Simulated Annealing approach which simultaneously optimizes diffusion parameters and fiber locations. Each fiber carries its individual set of diffusion parameters which allows to link them by their structural relationships.