Development of novel magnetic resonance imaging (MRI) algorithms for the assessment of mild traumatic brain injury (mTBI)
开发用于评估轻度创伤性脑损伤(mTBI)的新型磁共振成像(MRI)算法
基本信息
- 批准号:531926-2018
- 负责人:
- 金额:$ 8.81万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Idea to Innovation
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Mild traumatic brain injury (TBI) is a common and devastating condition that affects millions of people globally. In Canada there are approximately 160,000 new mTBIs per year and over a million Canadians are living with some form of disability due to this type of injury. Some mTBI cases can resolve without long-term sequelae while others can negatively affect cognitive function and contribute to ongoing disability in the individual. Studies have shown that mTBI can have long-lasting sequelae such as learning difficulties, impaired memory, headaches and behavioural problems (i.e. academic/vocational consequences). ** Following mTBI an individual will typically have a battery of neurological and possibly neuropsychological testing done. These are highly variable and non reproducible, and thus qualitative at best. Testing may or may not include routine imaging (i.e. computed tomography, CT, and magnetic resonance imaging, MRI). But, imaging is infrequently performed because it rarely shows any brain abnormality. If done it is simply to rule out sub/epidural haematoma which would be rarely (if ever) seen in mTBI.** We have developed and validated novel MRI techniques, using big data, to identify areas of the brain that have been damaged as a result of mTBI. The methods rely on data acquired from MRI scans that can be acquired on any clinical MRI without modification or special research keys. Because there are no objective methods to assessing mTBI we would like to commercialize our methods. We have a high degree of interest from professional and amateur athletes as well as both the legal and health insurance communities. To commercialize our approach we need to streamline our analysis software to reduce computational time. Furthermore, we need to advertise outside of our region, Canada-wide (and even farther) to garner interest in use of our approach. This project will strengthen the relationship between McMaster University and advanced imaging partners (e.g. Siemens Healthcare and GE Healthcare) and will give birth to a new Canadian biomedical engineering start-up company.
轻度创伤性脑损伤(TBI)是一种常见的破坏性疾病,影响着全球数百万人。在加拿大,每年约有160,000例新的mTBI,超过100万加拿大人因这种类型的伤害而生活在某种形式的残疾中。一些mTBI病例可以在没有长期后遗症的情况下解决,而其他病例可能会对认知功能产生负面影响,并导致个体的持续残疾。研究表明,mTBI可能有长期的后遗症,如学习困难,记忆力受损,头痛和行为问题(即学术/职业后果)。** 在mTBI之后,一个人通常会进行一系列神经学和可能的神经心理学测试。这些都是高度可变和不可复制的,因此最好的定性。测试可能包括或可能不包括常规成像(即计算机断层扫描,CT和磁共振成像,MRI)。但是,成像很少进行,因为它很少显示任何大脑异常。如果这样做,只是为了排除硬膜下血肿,这在mTBI中很少见(如果有的话)。 我们已经开发并验证了新的MRI技术,使用大数据来识别由于mTBI而受损的大脑区域。这些方法依赖于从MRI扫描中获得的数据,这些数据可以在任何临床MRI上获得,而无需修改或特殊的研究密钥。由于没有客观的方法来评估mTBI,我们希望将我们的方法商业化。我们有很高的兴趣,从专业和业余运动员以及双方的法律的和健康保险社区。为了将我们的方法商业化,我们需要简化我们的分析软件以减少计算时间。此外,我们需要在我们的区域之外,加拿大范围内(甚至更远)做广告,以获得对使用我们方法的兴趣。该项目将加强麦克马斯特大学与先进成像合作伙伴(如西门子医疗和通用电气医疗)之间的关系,并将催生一家新的加拿大生物医学工程初创公司。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Noseworthy, Michael其他文献
Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study
- DOI:
10.1002/jum.14909 - 发表时间:
2019-08-01 - 期刊:
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Behr, Michael;Noseworthy, Michael;Kumbhare, Dinesh - 通讯作者:
Kumbhare, Dinesh
White matter growth as a mechanism of cognitive development in children
- DOI:
10.1016/j.neuroimage.2006.07.024 - 发表时间:
2006-11-15 - 期刊:
- 影响因子:5.7
- 作者:
Mabbott, Donald J.;Noseworthy, Michael;Rockel, Conrad - 通讯作者:
Rockel, Conrad
Noseworthy, Michael的其他文献
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{{ truncateString('Noseworthy, Michael', 18)}}的其他基金
Advanced Magnetic Resonance Techniques for Rapid Non-Invasive Monitoring of Neuromuscular Activity
用于快速无创监测神经肌肉活动的先进磁共振技术
- 批准号:
RGPIN-2017-06318 - 财政年份:2021
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Magnetic Resonance Techniques for Rapid Non-Invasive Monitoring of Neuromuscular Activity
用于快速无创监测神经肌肉活动的先进磁共振技术
- 批准号:
RGPIN-2017-06318 - 财政年份:2020
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Magnetic Resonance Techniques for Rapid Non-Invasive Monitoring of Neuromuscular Activity
用于快速无创监测神经肌肉活动的先进磁共振技术
- 批准号:
RGPIN-2017-06318 - 财政年份:2019
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Magnetic Resonance Techniques for Rapid Non-Invasive Monitoring of Neuromuscular Activity
用于快速无创监测神经肌肉活动的先进磁共振技术
- 批准号:
RGPIN-2017-06318 - 财政年份:2018
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Magnetic Resonance Techniques for Rapid Non-Invasive Monitoring of Neuromuscular Activity
用于快速无创监测神经肌肉活动的先进磁共振技术
- 批准号:
RGPIN-2017-06318 - 财政年份:2017
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Deep Reinforcement Learning and its Application to Dialogue Systems
深度强化学习及其在对话系统中的应用
- 批准号:
495424-2016 - 财政年份:2016
- 资助金额:
$ 8.81万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Master's
Advanced Analysis of Functional Magnetic Resonance Imaging (MRI) Data for Evaluation of Tissue Physiology
用于评估组织生理学的功能磁共振成像 (MRI) 数据的高级分析
- 批准号:
238588-2012 - 财政年份:2015
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Analysis of Functional Magnetic Resonance Imaging (MRI) Data for Evaluation of Tissue Physiology
用于评估组织生理学的功能磁共振成像 (MRI) 数据的高级分析
- 批准号:
238588-2012 - 财政年份:2014
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Analysis of Functional Magnetic Resonance Imaging (MRI) Data for Evaluation of Tissue Physiology
用于评估组织生理学的功能磁共振成像 (MRI) 数据的高级分析
- 批准号:
238588-2012 - 财政年份:2013
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
Advanced Analysis of Functional Magnetic Resonance Imaging (MRI) Data for Evaluation of Tissue Physiology
用于评估组织生理学的功能磁共振成像 (MRI) 数据的高级分析
- 批准号:
238588-2012 - 财政年份:2012
- 资助金额:
$ 8.81万 - 项目类别:
Discovery Grants Program - Individual
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