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，用于量化许多疾病的影响。 条件，包括许多神经系统疾病，对人脑解剖结构，连接，脉管系统， 化学成分、生理和功能。在过去的15年里，几个开源工具已经 精确自动地分割大脑结构阵列。在这个项目中，我们寻求 资源，以扩展这一集，使量化的神经解剖学的变化是至关重要的， 对疾病进行诊断、分期和评估潜在治疗干预的功效， 阿尔茨海默和帕金森这包括采集数据集，以便能够手动标记结构 感兴趣的，生成文档，教程，单元测试，回归测试和系统测试硬化 工具，使他们可用的临床医生和神经科学家，最后的分配和支持， 数据，手动标签和工具，超过32,000名研究人员使用FreeSurfer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.