Free Surfer Development, Maintenance, and Hardening

免费冲浪者开发、维护和强化

• 批准号: 9562259
• 负责人: Bruce Fischl
• 金额: $ 9万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9562259
• 关键词: Advanced Development; Algorithms; Alzheimer' s Disease; Anatomy; Atlases; Biological Markers; Brain; Brain imaging; Clinical; Code; Communities; Computer software; Data; Data Analyses; Data Set; Databases; Detection; Development; Diagnosis; Diagnostic; Diffusion Magnetic Resonance Imaging; Documentation; Electroencephalography; Electronic Mail; Environment; Evaluation; Event; Framingham Heart Study; Functional Magnetic Resonance Imaging; Funding; Future; Grant; Growth; Heart; Hour; Human; Image; Industry Standard; Intervention; Label; Lead; Location; Magnetic Resonance Imaging; Maintenance; Manuals; Manuscripts; Memory; Methods; Modality; Modernization; Motivation; Multivariate Analysis; Operating Rooms; Optics; Performance; Pharmacologic Substance; Positron-Emission Tomography; Protocols documentation; Publications; Research; Research Infrastructure; Research Personnel; Running; Software Engineering; Speed; Stream; Stroke; Surface; Survival Analysis; Testing; Time; United States National Institutes of Health; Work; base; connectome; data acquisition; design; human imaging; innovation; multimodality; neuroimaging; programs; repository; tool

Abstract: FreeSurfer Development, Maintenance, and Hardening Imaging of the human brain has seen explosive growth in the last decade mainly through the various modalities of MRI. The massive amount of data requires automatic and robust tools for analysis. FreeSurfer (FS, surfer.nmr.mgh.harvard.edu) is one of the preeminent tools used for neuroimage analysis. FS has more than 20,000 downloads, and the core FS manuscripts have been cited more than 3000 times. FS is part of the analysis core for many NIH-funded large-scale data acquisition projects such as the Human Connectome Project (HCP), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Frammingham Heart Study (FHS). One third of all ADNI-based publications cite FS. Simply put, much of the innovative research done in neuroimaging would not be possible without FS. Started in 1998, FS is best known for providing detailed and automated anatomical analysis of T1- weighted MRI images, especially for the cortical surface. However, FS anatomical analysis provides an ideal substrate for all modes of brain imaging including functional MRI, diffusion MRI, PET, optical/NIRS, EEG/MEG. FS provides tools to perform these analyses as well as software to integrate with other analysis tools (eg, SPM, FSL, AFNI). FS has been used for presurgical planning and even in the operating room. A software package with a scientific breadth and user based the size of FS’s requires a significant amount of effort just to maintain it. For example, the FS email list receives approximately 3000 posts a year. FS must be continuously and rigorously tested because it is such an integral part of the neuroimaging infrastructure. Users are constantly requesting new functionality and better performance. This proposal will be used to develop, maintain, and harden FS. Specifically, we will make FS more robust by incorporating multiple modalities instead of just T1. We will replace the whole-brain segmentation with an unsupervised method that simultaneously optimizes bias field correction in a multimodal setting. We will implements multivariate analysis tools to assist in the interpretation of data. We will also harden and optimize the FS code base. Finally, we will include tools to assist the user to easily find where the FS analysis fails.

摘要： FreeSurfer开发、维护和强化 在过去的十年里，人类大脑的成像技术主要通过各种方法得到了爆炸性的发展。 MRI的模式。大量的数据需要自动和强大的分析工具。 FreeSurfer（FS，surfer.nmr.mgh.harvard.edu）是用于神经图像分析的杰出工具之一。 FS下载量超过20,000次，核心FS手稿被引用超过3000次。 FS是许多NIH资助的大型数据采集项目的分析核心的一部分， 人类连接组计划（HCP），阿尔茨海默病神经影像学倡议（ADNI），和 心脏研究（FHS）。所有基于ADNI的出版物中有三分之一引用FS。简单地说， 如果没有FS，神经成像领域的创新研究就不可能实现。 从1998年开始，FS以提供T1的详细和自动解剖分析而闻名， 加权MRI图像，尤其是皮质表面。然而，FS解剖分析提供了一个 适用于所有脑成像模式的理想基质，包括功能性MRI、扩散MRI、PET、光学/NIRS， 脑电图/脑磁图。FS提供了执行这些分析的工具以及与其他分析集成的软件 工具（例如SPM、FSL、AFNI）。FS已被用于术前计划，甚至在手术室。 一个具有科学广度和基于用户的FS大小的软件包需要大量的 例如，FS电子邮件列表收到大约3000个帖子， 年FS是神经影像学中不可或缺的一部分，因此必须进行持续和严格的测试 基础设施演进用户不断要求新的功能和更好的性能。这项建议会 用于开发、维护和强化FS。具体来说，我们会把 而不仅仅是T1。我们将用一个无监督的 一种同时优化多模式设置中的偏置场校正的方法。我们将实施 多变量分析工具，以协助解释数据。我们亦会加强和优化财政司司长的架构， 代码库最后，我们将包括一些工具来帮助用户轻松找到FS分析失败的地方。