AMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data

Christian J. Niedworok, Alexander P.Y. Brown, M. Jorge Cardoso, Pavel Osten, Sebastien Ourselin, Marc Modat, Troy W. Margrie*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

The validation of automated image registration and segmentation is crucial for accurate and reliable mapping of brain connectivity and function in three-dimensional (3D) data sets. While validation standards are necessarily high and routinely met in the clinical arena, they have to date been lacking for high-resolution microscopy data sets obtained from the rodent brain. Here we present a tool for optimized automated mouse atlas propagation (aMAP) based on clinical registration software (NiftyReg) for anatomical segmentation of high-resolution 3D fluorescence images of the adult mouse brain. We empirically evaluate aMAP as a method for registration and subsequent segmentation by validating it against the performance of expert human raters. This study therefore establishes a benchmark standard for mapping the molecular function and cellular connectivity of the rodent brain.

Original languageEnglish
Article number11879
JournalNature Communications
Volume7
DOIs
Publication statusPublished - 7 Jul 2016

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