ADVANCED IMAGE ANALYSIS OF THE RODENT BRAIN

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 数据共享 1)应用CIPM分割工具对CIVM高分辨率，主动染色的数据，以判断这种新型输入的有效性。 如果扭曲步骤产生有意义的输出，则将最小分割算法应用于这些扫描。 2)将形状分析工具应用于数据Alex Badea分析并比较了结果（Reeler小鼠研究）。 3)用于测试分割管道的初步数据：四个3D图像集和两个分割集。 a）来自两只主动染色动物的颅骨剥离脑图像集。 每个大脑有2个MR对比，标称为“T1”和“T2” B）两次手动分割，每只动物一次

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. DATA SHARING 1) Apply UNC segmentation tools on CIVM high res, actively stained data, in order to judge effectiveness on this new type of input. If the warping step produces meaningful output, the UNC segmentation algorithm be applied to these scans. 2) Apply UNC shape analysis tools to data Alex Badea has analyzed and compare results (Reeler mouse study). 3) Preliminary data for testing segmentation pipeline: Four 3D image sets and two segmentation sets. a) Skull stripped brain image sets from two actively stained animals. Each brain with 2 MR contrasts, nominally "T1" and "T2" b) Two hand segmentations, one for each animal