Abstract
In this paper we present a new model-guided approach to extracting anatomically plausible White Matter fiber-bundles from the high number of streamlines generated by tractography algorithms. Our approach is based on: (i) an approximate shape model of certain fiber-bundles constructed by an expert operator; (ii) a particular string representation of fibers; (iii) a new string similarity metric. It transforms the fiber-bundles of both the model and the tractography streamlines into strings and uses the string similarity metric for comparison and extraction tasks.
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Stamile, C., Cauteruccio, F., Terracina, G., Ursino, D., Kocevar, G., Sappey-Marinier, D. (2015). A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_14
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DOI: https://doi.org/10.1007/978-3-319-23344-4_14
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