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成像与人类大脑计划:综述

Imaging and the Human Brain Project: a review.

作者信息

Brinkley J F, Rosse C

机构信息

Structural Informatics Group, Department of Biological Structure, University of Washington, Seattle, USA.

出版信息

Methods Inf Med. 2002;41(4):245-60.

PMID:12425235
Abstract

OBJECTIVES

Survey current work primarily funded by the US Human Brain Project (HBP) that involves substantial use of images. Organize this work around a framework based on the physical organization of the body.

METHODS

Pointers to individual research efforts were obtained through the HBP home page as well as personal contracts from HBP annual meetings. References from these sources were followed to find closely related work. The individual research efforts were then studied and characterized.

RESULTS

The subject of the review is the intersection of neuroinformatics (information about the brain), imaging informatics (information about images), and structural informatics (information about the physical structure of the body). Of the 30 funded projects currently listed on the HBP web site, at least 22 make heavy use of images. These projects are described in terms of broad categories of structural imaging, functional imaging, and image-based brain information systems.

CONCLUSIONS

Understanding the most complex entity known (the brain) gives rise to many interesting and difficult problems in informatics and computer science. Although much progress has been made by HBP and other neuroinformatics researchers, a great many problems remain that will require substantial informatics research efforts. Thus, the HPB can and should be seen as an excellent driving application area for biomedical informatics research.

摘要

目标

调查目前主要由美国人类大脑计划(HBP)资助的、大量使用图像的研究工作。围绕一个基于身体物理结构的框架来组织这项工作。

方法

通过HBP主页以及HBP年会的个人合同获取各个研究工作的指针。追踪这些来源的参考文献以找到密切相关的工作。然后对各个研究工作进行研究和描述。

结果

综述的主题是神经信息学(关于大脑的信息)、影像信息学(关于图像的信息)和结构信息学(关于身体物理结构的信息)的交叉领域。在HBP网站目前列出的30个资助项目中,至少有22个大量使用图像。这些项目按照结构成像、功能成像和基于图像的大脑信息系统等广泛类别进行描述。

结论

理解已知的最复杂实体(大脑)在信息学和计算机科学中引发了许多有趣且困难的问题。尽管HBP和其他神经信息学研究人员已经取得了很大进展,但仍有许多问题需要大量的信息学研究工作。因此,HBP可以而且应该被视为生物医学信息学研究的一个极好的驱动应用领域。

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