Bug William, Gustafson Carl, Shahar Allon, Gefen Smadar, Fan Yingli, Bertrand Louise, Nissanov Jonathan
Laboratory for Bioimaging and Anatomical Informatics, Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.
Methods Mol Biol. 2007;401:211-34. doi: 10.1007/978-1-59745-520-6_13.
Neuroanatomical informatics, a subspecialty of neuroinformatics, focuses on technological solutions to neuroimage database access. Its current main goal is an image-based query system that is able to retrieve imagery based on anatomical location. Here, we describe a set of tools that collectively form such a solution for sectional material and that are available to investigators to use on their own data sets. The system accepts slide images as input and yields a matrix of transformation parameters that map each point on the input image to a standardized 3D brain atlas. In essence, this spatial normalization makes the atlas a spatial indexer from which queries can be issued simply by specifying a location on the reference atlas. Our objective here is to familiarize potential users of the system with the steps required of them as well as steps that take place behind the scene. We detail the capabilities and the limitations of the current implementation and briefly describe the enhancements planned for the near future.
神经解剖信息学作为神经信息学的一个子专业,专注于神经影像数据库访问的技术解决方案。其当前的主要目标是建立一个基于图像的查询系统,该系统能够根据解剖位置检索图像。在此,我们描述了一组工具,这些工具共同构成了针对切片材料的此类解决方案,可供研究人员在自己的数据集上使用。该系统接受幻灯片图像作为输入,并生成一个变换参数矩阵,该矩阵将输入图像上的每个点映射到标准化的三维脑图谱。从本质上讲,这种空间归一化使图谱成为一个空间索引,只需在参考图谱上指定一个位置就可以发出查询。我们在此的目标是让该系统的潜在用户熟悉他们需要执行的步骤以及幕后发生的步骤。我们详细介绍了当前实现的功能和局限性,并简要描述了近期计划进行的改进。