Segmenting Brain Structures for Neurological Disorders

分割神经系统疾病的大脑结构

基本信息

批准号：
10295766
负责人：
Bruce Fischl
金额：
$ 49.97万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-12-01 至 2023-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10295766
关键词：
Affect Aging Algorithmic Analysis Algorithms Alzheimer&apos s Disease Anatomy Atlases Brain Brain Stem Cell Nucleus Chemicals Claustral structure Code Coma Consciousness Disorders Data Data Set Diagnosis Diffusion Disease Documentation Ensure Future Generations Globus Pallidus Habenula Histologic Histology Human Image Image Analysis Infrastructure Label Licensing Location MRI Scans Magnetic Resonance Imaging Manuals Methods Modeling Neurobiology Parkinson Disease Phase II Clinical Trials Phase III Clinical Trials Physiology Population Procedures Protocols documentation Publishing Red nucleus structure Reproducibility Research Research Design Research Personnel Resolution Resources Rest Scanning Source Speed Staging Stress Structure Structure of subthalamic nucleus Substantia nigra structure System Techniques Technology Test Result Testing Thalamic Nuclei Therapeutic Intervention Time Validation Ventral Tegmental Area Visualization Visualization software Work algorithm development base capsule design ex vivo imaging flexibility histological image human disease imaging Segmentation in vivo interest morphometry nervous system disorder open source open source tool power analysis segmentation algorithm skills support tools targeted treatment tool tractography ultra high resolution web site wiki

项目摘要

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.

抽象的磁共振成像 (MRI) 是一种灵活而强大的技术，用于量化许多因素的影响条件，包括许多神经系统疾病，对人脑解剖学、连通性、脉管系统、在过去的 15 年里，出现了一些开源工具。开发出能够准确自动分割一系列大脑结构的技术。在这个项目中，我们寻求扩展此集的资源，以实现对神经解剖学变化至关重要的量化诊断、分期和评估潜在治疗干预措施的功效，例如阿尔茨海默氏症和帕金森氏症包括获取数据集以实现结构的手动标记。感兴趣的是生成文档、教程、单元测试、回归测试和系统测试来强化工具并使其可供大众和神经科学家使用，最后是分发和支持通过我们现有的方式向使用 FreeSurfer 的 32,000 多名研究人员提供数据、手动标签和工具开源机制。