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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Apostolico, A., Erdős, P.L., Lewenstein, M.: Parameterized matching with mismatches. J. Discrete Algorithms 5(1), 135–140 (2007)
Baker, B.S.: Parameterized pattern matching: algorithms and applications. J. Comput. Syst. Sci. 52(1), 28–42 (1996)
Caruyer, E., Daducci, A., Descoteaux, M., Houde, J.-C., Thiran, J.: Phantomas: a flexible software library to simulate diffusion mr phantom. In: ISMRM (2014)
Cauteruccio, F., Stamile, C., Terracina, G., Ursino, D., Sappey-Mariniery, D.: An automated string-based approach to white matter fiber-bundles clustering. In: IJCNN, pp. 1–8 (2015)
Colby, J.B., Soderberg, L., Lebel, C., Dinov, I.D., Thompson, P.M., Sowell, E.R.: Along-tract statistics allow for enhanced tractography analysis. Neuroimage 59(4), 3227–3242 (2012)
Garyfallidis, E., Brett, M., Correia, M.M., Williams, G.B., Nimmo-Smith, I.: Quickbundles, a method for tractography simplification. Front. Neurosci. 6, 175 (2012)
Golby, A.J., Kindlmann, G., Norton, I., Yarmarkovich, A., Pieper, S., Kikinis, R.: Interactive diffusion tensor tractography visualization for neurosurgical planning. Neurosurgery 68(2), 496–505 (2011)
Greco, G., Terracina, G.: Frequency-based similarity for parameterized sequences: formal framework, algorithms, and applications. Inf. Sci. 237, 176–195 (2013)
Hazay, C., Lewenstein, M., Sokol, D.: Approximate parameterized matching. ACM Trans. Algorithms (TALG) 3(3), 29 (2007)
Levenshtein, V.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys.-Dokl. 10(8), 707–710 (1966)
Mårtensson, J., Nilsson, M., Ståhlberg, F., Sundgren, P.C., Nilsson, C., van Westen, D., Larsson, E.-M., Lätt, J.: Spatial analysis of diffusion tensor tractography statistics along the inferior fronto-occipital fasciculus with application in progressive supranuclear palsy. MAGMA 26(6), 527–537 (2013)
Pantano, P., Mainero, C., Iannetti, G.D., Caramia, F., Di Legge, S., Piattella, M.C., Pozzilli, C., Bozzao, L., Lenzi, G.L.: Contribution of corticospinal tract damage to cortical motor reorganization after a single clinical attack of multiple sclerosis. Neuroimage 17(4), 1837–1843 (2002)
Powers, D.: Evaluation: From precision, recall and f-factor to roc, informedness, markedness & correlation. Technical report, Adelaide, Australia (2007)
Stamile, C., Cauteruccio, F., Terracina, G., Ursino, D., Kocevar, G., Sappey-Marinier, D.: A model-guided string-based approach to white matter fiber-bundles extraction. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds.) BIH 2015. LNCS, vol. 9250, pp. 135–144. Springer, Heidelberg (2015)
Tournier, J.D., Calamante, F., Connelly, A.: MRtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 22, 53–66 (2012)
Zhang, S., Correia, S., Laidlaw, D.H.: Identifying white-matter fiber bundles in dti data using an automated proximity-based fiber-clustering method. IEEE Trans. Vis. Comput. Graph. 14(5), 1044–1053 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-41501-7_71
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41500-0
Online ISBN: 978-3-319-41501-7
eBook Packages: Computer ScienceComputer Science (R0)