信息学与计算神经解剖学
Informatics and computational neuroanatomy.
作者信息
Toga A W, Thompson P M, Holmes C J, Payne B A
机构信息
Dept. of Neurology, UCLA School of Medicine, USA.
出版信息
Proc AMIA Annu Fall Symp. 1996:299-303.
Rapid and convenient access to digital image archives, as well as archive-based computational tools, are fundamental to many hypothesis-driven investigations of brain anatomy and function in health and disease. The complexity and density of brain image data requires the design of intelligent tools which allow scientific and clinical data, collected at numerous research centers, to be compared, integrated, and disseminated. We describe our results in the development of image data navigational tools, a World Wide Web repository of image analysis software, and strategies to represent populations of brain image data involving atlas descriptions of its variance.
快速便捷地访问数字图像档案以及基于档案的计算工具，对于许多关于健康与疾病状态下脑解剖结构和功能的假设驱动型研究至关重要。脑图像数据的复杂性和密集性要求设计智能工具，以便对在众多研究中心收集的科学和临床数据进行比较、整合及传播。我们描述了在图像数据导航工具开发、图像分析软件的万维网存储库以及涉及脑图像数据群体变异图谱描述的表示策略方面取得的成果。
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