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

作者：Niedworok Christian J; Brown Alexander P Y; Cardoso M Jorge; Osten Pavel; Ourselin Sebastien; Modat Marc^*; Margrie Troy W^*

来源：Nature Communications, 2016, 7(1): 11879.

DOI：10.1038/ncomms11879

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.

• 出版日期2016-7
• 单位河北医科大学