Topographic regularity for tract filtering in brain connectivity

Junyan Wang, Dogu Baran Aydogan, Rohit Varma, Arthur W. Toga, Yonggang Shi*

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

6 Sitaatiot (Scopus)

Abstrakti

The preservation of the spatial relationships among axonal pathways has long been studied and known to be critical for many functions of the brain. Being a fundamental property of the brain connections, there is an intuitive understanding of topographic regularity in neuroscience but yet to be systematically explored in connectome imaging research. In this work, we propose a general mathematical model for topographic regularity of fiber bundles that is consistent with its neuroanatomical understanding. Our model is based on a novel group spectral graph analysis (GSGA) framework motivated by spectral graph theory and tensor decomposition. GSGA provides a common set of eigenvectors for the graphs formed by topographic proximity measures whose preservation along individual tracts in return is modeled as topographic regularity. To demonstrate the application of this novel measure of topographic regularity, we apply it to filter fiber tracts from connectome imaging. Using large-scale data from the Human Connectome Project (HCP), we show that our novel algorithm can achieve better performance than existing methods on the filtering of both individual bundles and whole brain tractograms.

AlkuperäiskieliEnglanti
OtsikkoInformation Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings
Sivut263-274
Sivumäärä12
DOI - pysyväislinkit
TilaJulkaistu - 1 tammikuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Information Processing in Medical Imaging - Boone, Yhdysvallat
Kesto: 25 kesäkuuta 201730 kesäkuuta 2017
Konferenssinumero: 25

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta10265 LNCS
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceInternational Conference on Information Processing in Medical Imaging
LyhennettäIPMI
MaaYhdysvallat
KaupunkiBoone
Ajanjakso25/06/201730/06/2017

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  • Siteeraa tätä

    Wang, J., Aydogan, D. B., Varma, R., Toga, A. W., & Shi, Y. (2017). Topographic regularity for tract filtering in brain connectivity. teoksessa Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings (Sivut 263-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 10265 LNCS). https://doi.org/10.1007/978-3-319-59050-9_21