BECA: A Software Tool for Integrated Visualization of Human Brain Data

Huang Li, Shiaofen Fang, Bob Zigon, Olaf Sporns, Andrew Saykin, Joaquín Goñi, Li Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visualization plays an important role in helping neuroscientist understanding human brain data. Most publicly available software focuses on visualizing a specific brain imaging modality. Here we present an extensible visualization platform, BECA, which employ a plugin architecture to facilitate rapid development and deployment of visualization for human brain data. This paper will introduce the architecture and discuss some important design decisions in implementing the BECA platform and its visualization plugins.

Original languageEnglish (US)
Title of host publicationBrain Informatics - International Conference, BI 2017, Proceedings
PublisherSpringer Verlag
Pages285-291
Number of pages7
Volume10654 LNAI
ISBN (Print)9783319707716
DOIs
StatePublished - Jan 1 2017
EventInternational Conference on Brain Informatics, BI 2017 - Beijing, China
Duration: Nov 16 2017Nov 18 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10654 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Brain Informatics, BI 2017
CountryChina
CityBeijing
Period11/16/1711/18/17

Fingerprint

Software Tools
Brain
Visualization
Plug-in
Modality
Imaging
Imaging techniques
Software
Human
Architecture

Keywords

  • Human brain data
  • Plugin platform
  • Software architecture
  • Visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A., Goñi, J., & Shen, L. (2017). BECA: A Software Tool for Integrated Visualization of Human Brain Data. In Brain Informatics - International Conference, BI 2017, Proceedings (Vol. 10654 LNAI, pp. 285-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10654 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-70772-3_27

BECA : A Software Tool for Integrated Visualization of Human Brain Data. / Li, Huang; Fang, Shiaofen; Zigon, Bob; Sporns, Olaf; Saykin, Andrew; Goñi, Joaquín; Shen, Li.

Brain Informatics - International Conference, BI 2017, Proceedings. Vol. 10654 LNAI Springer Verlag, 2017. p. 285-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10654 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, H, Fang, S, Zigon, B, Sporns, O, Saykin, A, Goñi, J & Shen, L 2017, BECA: A Software Tool for Integrated Visualization of Human Brain Data. in Brain Informatics - International Conference, BI 2017, Proceedings. vol. 10654 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10654 LNAI, Springer Verlag, pp. 285-291, International Conference on Brain Informatics, BI 2017, Beijing, China, 11/16/17. https://doi.org/10.1007/978-3-319-70772-3_27
Li H, Fang S, Zigon B, Sporns O, Saykin A, Goñi J et al. BECA: A Software Tool for Integrated Visualization of Human Brain Data. In Brain Informatics - International Conference, BI 2017, Proceedings. Vol. 10654 LNAI. Springer Verlag. 2017. p. 285-291. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70772-3_27
Li, Huang ; Fang, Shiaofen ; Zigon, Bob ; Sporns, Olaf ; Saykin, Andrew ; Goñi, Joaquín ; Shen, Li. / BECA : A Software Tool for Integrated Visualization of Human Brain Data. Brain Informatics - International Conference, BI 2017, Proceedings. Vol. 10654 LNAI Springer Verlag, 2017. pp. 285-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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