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Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9730))

Abstract

The construction of White Matter (WM) fiber-bundles has been largely investigated in the literature. Indeed, both manual and automatic approaches for isolating and extracting WM fiber-bundles have been proposed in the past. Each family of approaches has its pros and cons. One of the most known automatic approaches is QuickBundles (QB). Undoubtedly, the main feature of this approach is its quickness. However, due to its way of proceeding, QB could return anatomically incoherent fiber-bundles. In this paper, we propose an approach that integrates QB with a string-based fiber representation to overcome this problem. We also present the results of some experiments conceived to compare our approach with QB.

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Notes

  1. 1.

    The interested reader can find all details about SBED and algorithms for its computation in [4, 14].

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Correspondence to Domenico Ursino .

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Cauteruccio, F., Stamile, C., Terracina, G., Ursino, D., Sappey-Marinier, D. (2016). Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_71

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  • DOI: https://doi.org/10.1007/978-3-319-41501-7_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41500-0

  • Online ISBN: 978-3-319-41501-7

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