IDENTIFICATION & CHARACTERIZATION OF BRAIN CONNECTIONS

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。扩散张量成像（DTI）是一种新的技术，可以显示以前无法获得的脑白色物质的解剖信息。虽然它作为一种新的诊断工具有很大的潜力，但它遭受各种技术困难，这些困难源于它对受试者运动的敏感性和独特的数据结构。因此，在数据采集、处理和分析方面的新技术开发势在必行。该项目的第一个目标是开发和应用新的数据采集技术，以提高图像分辨率和对从属运动的敏感性。在第二和第三个目标中，提出了二维和三维数据处理和分析工具的发展。在本报告年度，我们成功实施了一种基于并行成像的新数据采集方案，该方案减少了成像时间和受试者运动的敏感性。对于需要高图像分辨率的脑研究，开发了三维高分辨率成像序列（Magn.Reson. Med.47，837，2002）。我们开发了具有用户友好界面的数据处理软件，并分发给11个美国和国际研究地点。研究了基于概率图的DTI分析软件，并开发了第一代软件。在这项研究中，每个个体的3D张量场被扭曲到一个标准坐标中，以创建白色物质结构的统计图。结果被提交给了Magn. Reson。医学和神经影像。我们将DTI应用于两种不同类型的脑部疾病，即癌症和前脑无裂畸形。研究结果分别发表在Annals of Neurology（51，377，2002）和Radiology（223，645，2002）上。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Diffusion tensor imaging (DTI) is a new technique that can reveal formerly inaccessible anatomical information of brain white matter. While it has a great potential as a new diagnostic tool, it suffers from various technical difficulties stemmed from its susceptibility to subject motions and the unique data structures. Therefore, new technical development in terms of data acquisition, processing, and analysis is imperative. The first aim of this project is to develop and apply new data acquisition techniques to improve image resolution and its susceptibility to subjection motions. In the second and third aims, developments of two- and three-dimensional data processing and analysis tools are proposed. In this report year, we successfully implemented a new data acquisition scheme based on parallel imaging, which reduced imaging time and the susceptibility to the subject motion. For brain studies that require high image resolutions, three-dimensional high resolution imaging sequence was developed (Magn. Reson. Med. 47, 837,2002). We developed data processing software with user-friendly interface and disseminated to 11 USA and international research sites. probabilistic map-based DTI analysis software was being studied and the first generation software was developed. In this study, the 3D tensor field of each individual was warped into a standard coordinate to create a statistical map of the white matter architecture. The result was submitted to Magn. Reson. Med. and NeuroImage. We applied the DTI to two different types of brain diseases, namely cancer and holoprosencephaly. The results were published in Annals of Neurology (51, 377, 2002), and Radiology (223,645, 2002), respectively.