Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Symmetric image normalization for mouse brain magnetic resonance microscopy

Authors
Zhenrong Fu, Lan Lin, Cong Jin
Corresponding Author
Zhenrong Fu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.180How to use a DOI?
Keywords
mouse brain, MRM, registration,
Abstract

Various genetic mouse models have been used to understand aspects of the biology of the neurodegenerative disease. A rapid growth of data collection from the mouse brain has put image registration, a key prerequisite step for brain image analysis in great focus. SyN (symmetric image normalization method) is one of the most performed diffeomorphic strategies which has been widely used in human brain mapping. In this study, we optimized the SyN strategy for tiny mouse brain. The optimized protocol is able to accurately remove the anatomical variability between mouse brain MR microscopy (MRM) and offers superior performance over the SyN protocol for human.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.180
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.180How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhenrong Fu
AU  - Lan Lin
AU  - Cong Jin
PY  - 2016/04
DA  - 2016/04
TI  - Symmetric image normalization for mouse brain magnetic resonance microscopy
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 941
EP  - 945
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.180
DO  - 10.2991/ameii-16.2016.180
ID  - Fu2016/04
ER  -