"BRAIN'S LINES": A METHOD OF NON-RIGID REGISTRATION OF TWO-DIMENSIONAL IMAGES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 “大脑的线条”将是一个配准软件，用于在两幅图像内找到对应的点，而不依赖于它们的外部坐标。 该项目具有临床目标，可在神经外科、神经放射学、放射治疗等领域找到应用。 该软件将能够定位正常或病理结构，这是在受试者的核磁共振上可见的，在图谱上，或找到结构的坐标，这些结构在地图集上，在受试者的核磁共振上，因此在他的“真正的”大脑中。即使在磁共振图像中，大脑因病理过程(例如，大肿瘤)而严重变形，它也将被使用。 “大脑的线条”软件将使用经过分割的磁共振图像，其中不感兴趣的部分，如动脉、静脉和脑膜，已从图像中删除。将一幅地图集的MR断面与相应的断面进行了比较，必须在数字对上找出一些标志性的标志才能匹配。这种识别可以由临床医生手动进行，也可以通过软件自动找到。 通过比较采样两种结构的对应直线并计算两条直线或其线段的长度之比，找出对应点的局部化。这些线尽可能细，以便对表面进行非常近距离的采样。 这些表面被划分为3个隔室：皮质、白质、脑室和基底节。每个隔间都以不同的方式进行了详细说明。 在项目目前的状态下，有一个文本，其中我描述了我希望软件做出什么，以便获得图形结果。

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. "Brain's lines" will be a software for registration created to find corresponding points inside two images independent from their external coordinates. The project has clinical aims and can find applications in Neurosurgery, Neuroradiology, Radiotherapy. The software will enable to localize a normal or pathological structure, which is visible on the MRI of a subject, on an atlas, or to find the coordinates of structures, which are well delienated on an atlas, on the MRI of a subject, therefore in his "real" brain. It will be utilized even for MR images in which the brain is greatly deformed by pahologic processes (e.g. large tumors). The software "Brain's lines" will use MR images elaborated by segmentation and in which the componenets which are not of interest, as arteries, veins and meninges,have been erased from the image. The comparison is made betwen an MR section and the corresponding section of an atlas.Some landmarks must be identified on the couples of figures to match. This identification can be made manually by the clinician or they could be found automatically by the software. The localization of the corresponding points is found comparing corresponding lines which sample the two structures and calculating the ratio between th the length of the two lines or of their segments. These lines are as thin as possible to sample the surface very closely. These surfaces are partitioned in 3 compartments: cortex, white matter, ventricles and basal ganglia. Each compartment is elaborated in a different way. At the present state of the project there is a text in which I describe what I wish the software to make in order to obtain a graphic result.