Image Processing Reference
In-Depth Information
Chapter 21
Visualization in Connectomics
Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner,
Vincent J. Dercksen, Hans-Christian Hege and Jos B.T.M. Roerdink
Abstract Connectomics is a branch of neuroscience that attempts to create a
connectome , i.e., a complete map 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 connectivity
H. Pfister ( B ) · V. Kaynig
School of Engineering and Applied Sciences, Harvard University,
33 Oxford St., Cambridge, MA 02138, USA
e-mail: pfister@seas.harvard.edu
V. Kaynig
e-mail: vkaynig@seas.harvard.edu
C.P. Botha
vxlabs, Somerset West, SA
e-mail: cpbotha@vxlabs.com
S. Bruckner
Institute of Computer Graphics and Algorithms, Vienna University of Technology,
Favoritenstraße 9-11/E186, 1040 Wien, Austria
e-mail: bruckner@cg.tuwien.ac.at
V. J . D e r c k s e n
H.-C. Hege
Department of Visualization and Data Analysis,
Zuse Institute Berlin, Takustraße 7, 14195 Berlin, Germany
e-mail: dercksen@zib.de
H.-C. Hege
e-mail: hege@zib.de
J.B.T.M. Roerdink
Johann Bernoulli Institute for Mathematics and Computer Science,
University of Groningen, P.O. Box 407, 9700, AK Groningen, The Netherlands
e-mail: j.b.t.m.roerdink@rug.nl
·
 
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