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Visualization in Connectomics

Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, Vincent J. Dercksen, Hans-Christian Hege, Jos B.T.M. Roerdink

BOOK CHAPTER: In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, pp. 221–245, 2014. DOI: 10.1007/978-1-4471-6497-5_21

Abstract

Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a completemap of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivit

Published

Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization

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BibTeX

@INCOLLECTION{Pfister-2014-VIC,
  author = {Hanspeter Pfister and Verena Kaynig and Charl P. Botha and Stefan
	Bruckner and Vincent J. Dercksen and Hans-Christian Hege and Jos
	B.T.M. Roerdink},
  title = {Visualization in Connectomics},
  booktitle = {Scientific Visualization: Uncertainty, Multifield, Biomedical, and
	Scalable Visualization},
  publisher = {Springer},
  year = {2014},
  editor = {Min Chen and Hans Hagen and Charles D. Hansen and Christopher R.
	Johnson and Arie E. Kaufman},
  series = {Mathematics and Visualization},
  chapter = {21},
  pages = {221--245},
  month = sep,
  abstract = {Connectomics is a branch of neuroscience that attempts to create a
	connectome, i.e., a completemap of the neuronal system and all connections
	between neuronal structures. This representation can be used to understand
	how functional brain states emerge from their underlying anatomical
	structures and how dysfunction and neuronal diseases arise. We review
	the current state-of-the-art of visualization and image processing
	techniques in the field of connectomics and describe a number of
	challenges. After a brief summary of the biological background and
	an overview of relevant imaging modalities, we review current techniques
	to extract connectivit},
  doi = {10.1007/978-1-4471-6497-5_21},
  keywords = {connectomics, neuroscience, visualization, imaging},
  owner = {bruckner},
  timestamp = {2014.12.30},
  url = {http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-1-4471-6496-8}
}






 Last Modified: Stefan Bruckner, 2017-08-23