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Author:

Fu, Zhenrong (Fu, Zhenrong.) | Lin, Lan (Lin, Lan.) | Jin, Cong (Jin, Cong.)

Indexed by:

CPCI-S

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.

Keyword:

MRM mouse brain registration

Author Community:

  • [ 1 ] [Fu, Zhenrong]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Lan]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Jin, Cong]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Lin, Lan]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS (AMEII 2016)

ISSN: 2352-5401

Year: 2016

Volume: 73

Page: 941-945

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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