aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data.
aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data.
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AMAP是用于注册和分割高分辨率小鼠脑数据的验证管道。
DOI：
10.1038/ncomms11879
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发表时间：
2016-07-07
影响因子：
16.6
通讯作者：
Margrie TW
中科院分区：
文献类型：
--
作者：
Niedworok CJ;Brown AP;Jorge Cardoso M;Osten P;Ourselin S;Modat M;Margrie TW
自动图像配准和分割的验证对于准确和可靠地绘制三维(3D)数据集中的大脑连接和功能图至关重要。虽然验证标准必然很高，并在临床上经常达到，但到目前为止，从啮齿动物大脑获得的高分辨率显微镜数据集一直缺乏验证标准。在这里，我们提出了一个基于临床注册软件(NiftyReg)的优化的小鼠图谱自动传播工具(AMAP)，用于对成年小鼠大脑的高分辨率3D荧光图像进行解剖分割。我们对AMAP作为一种注册和后续分割的方法进行了经验性的评估，方法是对照专家人类评分员的表现进行验证。因此，这项研究为绘制啮齿动物大脑的分子功能和细胞连接建立了一个基准标准。高分辨率3D显微数据集的解剖分割对于以细胞分辨率绘制大样本地图是必要的。在这里，作者提出了一种自动小鼠图谱传播(AMAP)管道，以分割成年小鼠大脑的荧光图像，并与人类分割进行验证。
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. Anatomical segmentation of high-resolution 3D microscopy datasets is necessary to map large samples at cellular resolution. Here the authors present a pipeline for automated mouse atlas propagation (aMAP) to segment fluorescence images of the adult mouse brain and validate it against human segmentations.