IDENTIFICATION & CHARACTERIZATION OF BRAIN CONNECTIONS

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。弥散张量成像（Diffusion tensor imaging， DTI）是一种新的脑白质解剖成像技术。虽然它作为一种新的诊断工具有很大的潜力，但由于它对受试者运动的敏感性和独特的数据结构，它面临着各种技术困难。因此，数据采集、处理和分析方面的新技术发展势在必行。该项目的第一个目标是开发和应用新的数据采集技术，以提高图像分辨率及其对臣服运动的敏感性。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。在本报告中，我们成功地实现了一种新的基于并行成像的数据采集方案，该方案减少了成像时间和对主体运动的敏感性。对于需要高图像分辨率的大脑研究，开发了三维高分辨率成像序列(Magn。的原因。医学。47,837,2002)。我们开发了具有用户友好界面的数据处理软件，并推广到11个美国和国际研究站点。正在研究基于概率图的DTI分析软件，并开发了第一代软件。在这项研究中，每个个体的三维张量场被扭曲成一个标准坐标，以创建一个白质结构的统计图。结果提交给了麦格。的原因。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，即癌症和前脑畸形。研究结果分别发表在《神经病学年鉴》（51,377,2002）和《放射学年鉴》（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.