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特定协议神经影像数据集的数据库整合。

Database integration of protocol-specific neurological imaging datasets.

作者信息

Pacurar Emil E, Sethi Sean K, Habib Charbel, Laze Marius O, Martis-Laze Rachel, Haacke E Mark

机构信息

Magnetic Resonance Innovations, Inc., Detroit, MI, USA; The MRI Institute for Biomedical Research, Detroit, MI, USA.

Magnetic Resonance Innovations, Inc., Detroit, MI, USA; The MRI Institute for Biomedical Research, Detroit, MI, USA.

出版信息

Neuroimage. 2016 Jan 1;124(Pt B):1220-1224. doi: 10.1016/j.neuroimage.2015.04.066. Epub 2015 May 8.

Abstract

For many years now, Magnetic Resonance Innovations (MR Innovations), a magnetic resonance imaging (MRI) software development, technology, and research company, has been aggregating a multitude of MRI data from different scanning sites through its collaborations and research contracts. The majority of the data has adhered to neuroimaging protocols developed by our group which has helped ensure its quality and consistency. The protocols involved include the study of: traumatic brain injury, extracranial venous imaging for multiple sclerosis and Parkinson's disease, and stroke. The database has proven invaluable in helping to establish disease biomarkers, validate findings across multiple data sets, develop and refine signal processing algorithms, and establish both public and private research collaborations. Myriad Masters and PhD dissertations have been possible thanks to the availability of this database. As an example of a project that cuts across diseases, we have used the data and specialized software to develop new guidelines for detecting cerebral microbleeds. Ultimately, the database has been vital in our ability to provide tools and information for researchers and radiologists in diagnosing their patients, and we encourage collaborations and welcome sharing of similar data in this database.

摘要

多年来,磁共振创新公司(MR Innovations),一家专注于磁共振成像(MRI)软件开发、技术及研究的公司,通过合作及研究合同,一直在收集来自不同扫描站点的大量MRI数据。大部分数据都遵循了我们团队制定的神经成像协议,这有助于确保数据的质量和一致性。涉及的协议包括对以下方面的研究:创伤性脑损伤、用于多发性硬化症和帕金森病的颅外静脉成像以及中风。事实证明,该数据库在帮助建立疾病生物标志物、跨多个数据集验证研究结果、开发和完善信号处理算法以及建立公共和私人研究合作方面具有不可估量的价值。由于该数据库的存在,众多硕士和博士论文得以完成。作为一个跨越多种疾病的项目示例,我们利用这些数据和专门软件制定了检测脑微出血的新指南。最终,该数据库对于我们为研究人员和放射科医生提供诊断患者的工具和信息的能力至关重要,我们鼓励开展合作并欢迎在该数据库中分享类似数据。

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本文引用的文献

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Toward an international initiative for traumatic brain injury research.迈向创伤性脑损伤研究的国际倡议。
J Neurotrauma. 2013 Jul 15;30(14):1211-22. doi: 10.1089/neu.2013.2896. Epub 2013 Jul 11.
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Data sharing in neuroimaging research.神经影像学研究中的数据共享。
Front Neuroinform. 2012 Apr 5;6:9. doi: 10.3389/fninf.2012.00009. eCollection 2012.

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