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Title: Visualizing in vivo brain neural structures using volume rendered feature spaces.
Authors: Nakao, Megumi  kyouindb  KAKEN_id
Kurebayashi, Kosuke
Sugiura, Tadao
Sato, Tetsuo
Sawada, Kazuaki
Kawakami, Ryosuke
Nemoto, Tomomi
Minato, Kotaro
Matsuda, Tetsuya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-2339-1521 (unconfirmed)
Author's alias: 中尾, 恵
Keywords: Volume visualization
Feature analysis
Neural structures
Two-photon microscopy
Issue Date: 1-Oct-2014
Publisher: Elsevier Ltd.
Journal title: Computers in biology and medicine
Volume: 53
Start page: 85
End page: 93
Abstract: [Background]Dendrites of cortical neurons are widely spread across several layers of the cortex. Recently developed two-photon microscopy systems are capable of visualizing the morphology of neurons within deeper layers of the brain and generate large amounts of volumetric imaging data from living tissue. [Method]For visual exploration of the three-dimensional (3D) structure of dendrites and the connectivity among neurons in the brain, we propose a visualization software and interface for 3D images based on a new transfer function design using volume rendered feature spaces. This software enables the visualization of multidimensional descriptors of shape and texture extracted from imaging data to characterize tissue. It also allows the efficient analysis and visualization of large data sets. [Results]We apply and demonstrate the software to two-photon microscopy images of a living mouse brain. By applying the developed visualization software and algorithms to two-photon microscope images of the mouse brain, we identified a set of feature values that distinguish characteristic structures such as soma, dendrites and apical dendrites in mouse brain. Also, the visualization interface was compared to conventional 1D/2D transfer function system. [Conclusions]We have developed a visualization tool and interface that can represent 3D feature values as textures and shapes. This visualization system allows the analysis and characterization of the higher-dimensional feature values of living tissues at the micron level and will contribute to new discoveries in basic biology and clinical medicine.
Rights: © 2014 Elsevier Ltd.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/189555
DOI(Published Version): 10.1016/j.compbiomed.2014.07.007
PubMed ID: 25129020
Appears in Collections:Journal Articles

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