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Water Molecules Diffusion in Diffusion Weighted Imaging

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8423))

Abstract

In the studying of fibers microstructure of brain white matter, many reconstruction methods have been proposed to interpret the diffusion-weighted signal. Those methods can be categorized into model-based and model-free methods. In this paper, the diffusion configuration of water molecules are discussed, and two questions are put forward to analyze the performance of the current algorithms about diffusion configuration.

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© 2014 Springer International Publishing Switzerland

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Zhang, F., Cao, Z., Zhang, X., Cao, K. (2014). Water Molecules Diffusion in Diffusion Weighted Imaging. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds) Health Information Science. HIS 2014. Lecture Notes in Computer Science, vol 8423. Springer, Cham. https://doi.org/10.1007/978-3-319-06269-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-06269-3_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06268-6

  • Online ISBN: 978-3-319-06269-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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