Segmenting Brain Structures for Neurological Disorders

摘要 磁共振成像(MRI)是一种灵活而强大的技术，可以量化许多 状况，包括许多神经疾病，对人脑解剖、连通性、血管系统、 化学成分、生理和功能。在过去的15年中，有几个开源工具 开发了一种准确、自动地分割一组大脑结构的工具。在这个项目中，我们寻求 用于扩展此集合的资源，以实现对以下方面至关重要的神经解剖变化的量化 诊断、分期和评估潜在的治疗干预措施在以下疾病中的疗效 阿尔茨海默氏症和帕金森氏症。这包括获取数据集，以便能够对结构进行手动标记 有趣的是，生成文档、教程、单元测试、回归测试和系统测试以加强 这些工具并使它们可供临床医生和神经学家使用，最后是分发和支持 向32,000多名研究人员提供数据、手动标签和工具，这些研究人员通过我们现有的 开源机制。

Abstract Magnetic Resonance Imaging (MRI) is a flexible and powerful technology for quantifying the effects of many conditions, including numerous neurological disorders, on human brain anatomy, connectivity, vasculature, chemical composition, physiology and function. In the past 15 years, several open source tools have been developed that accurately and automatically segment an array of brain structures. In this project, we seek the resources to extend this set to enable the quantification of neuroanatomical changes that are critical to diagnosing, staging and assessing the efficacy of potential therapeutic interventions in diseases such as Alzheimer’s and Parkinson’s. This includes the acquisition of datasets to enable manual labeling of structures of interest, the generation of documentation, tutorials, unit tests, regression tests and system tests to harden the tools and make them usable by clinicians and neuroscientists, and finally the distribution and support of the data, manual labelings and tools to the more than 32,000 researchers that use FreeSurfer through our existing open source mechanism.