Optimal Bandwidth-Limited Gradient Waveform Design (continued)
最佳带宽受限梯度波形设计(续)
基本信息
- 批准号:514059-2017
- 负责人:
- 金额:$ 0.91万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Plus Grants Program
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Synaptive Medical is a medical device and software technology company based in Toronto, focused onproviding imaging solutions to enhance neurosurgical procedures. Synaptive Medical is focused onincorporation of novel magnetic resonance imaging technologies into specific neurosurgical procedures tofacilitate tumor detection and resection, guidance of neuro-stimulation devices for degenerative diseases andintervention for stroke and trauma. By increasing the efficiency of MRI experiments, we can reduce the costper diagnosis, and reduce the time spend in the magnet by patients. MRI devices require very flexible software,capable of producing many different types of images, and even quantitative information, like the volume ofblood flowing through an artery.In this project, we will be optimizing one aspect of MRI software called gradient waveforms, which amongother things determine the positioning and resolution of the images. Rather than designing generic waveforms,and accepting that the effective waveform will vary from the design and from machines to machine, wepropose to design waveforms at the highest level of performance available to each specific machine, and insome cases, for each location of the imaging slice within the possible imaging volume. The main problems wewill be avoiding are the distortion of the gradient caused by the limited capabilities of the amplifiers whichdrive current through the specially-shaped conductors called gradient coils, and the unwanted noise caused as aside effect.Under a previous ENGAGE award, we were able to substantially solve this problem for the case ofEcho-Planar Imaging (EPI). During the ENGAGE Plus, we hope to extend those results to Fast Spin Echo(FSE) and Steady-State Free Precession (SSFP) experiments.
Synaptive Medical是一家总部位于多伦多的医疗设备和软件技术公司,专注于提供成像解决方案,以增强神经外科手术。Synaptive Medical专注于将新型磁共振成像技术整合到特定的神经外科手术中,以促进肿瘤的检测和切除,指导退行性疾病的神经刺激装置以及中风和创伤的干预。通过提高MRI实验的效率,可以降低诊断成本,减少患者在磁体中花费的时间。核磁共振成像设备需要非常灵活的软件,能够产生许多不同类型的图像,甚至定量信息,如流经动脉的血容量。在这个项目中,我们将优化MRI软件的一个方面,称为梯度波形,它决定了图像的定位和分辨率。与其设计通用波形,并接受有效波形会因设计和机器而异,我们建议为每台特定机器设计最高性能水平的波形,在某些情况下,在可能的成像体积内为成像切片的每个位置设计波形。我们要避免的主要问题是由于放大器驱动电流通过称为梯度线圈的特殊形状导体的能力有限而引起的梯度失真,以及作为副作用引起的不必要的噪声。根据之前的ENGAGE合同,我们能够在回波平面成像(EPI)的情况下实质性地解决这个问题。在ENGAGE Plus期间,我们希望将这些结果扩展到快速自旋回波(FSE)和稳态自由进动(SSFP)实验中。
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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Anand, Christopher其他文献
Gamification and serious game approaches for adult literacy tablet software
- DOI:
10.1016/j.entcom.2014.04.003 - 发表时间:
2014-08-01 - 期刊:
- 影响因子:2.8
- 作者:
Browne, Kevin;Anand, Christopher;Gosse, Elizabeth - 通讯作者:
Gosse, Elizabeth
Anand, Christopher的其他文献
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{{ truncateString('Anand, Christopher', 18)}}的其他基金
Generation and Verification of High-Performance Mathematical Software and Hardware
高性能数学软硬件的生成和验证
- 批准号:
536628-2018 - 财政年份:2021
- 资助金额:
$ 0.91万 - 项目类别:
Collaborative Research and Development Grants
Generation and Verification of High-Performance Mathematical Software and Hardware
高性能数学软硬件的生成和验证
- 批准号:
536628-2018 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
Collaborative Research and Development Grants
Software: Tool for Change / Science Literacy
软件:变革工具/科学素养
- 批准号:
549797-2020 - 财政年份:2020
- 资助金额:
$ 0.91万 - 项目类别:
PromoScience Supplement for Science Literacy Week
Science Odyssey
科学奥德赛
- 批准号:
538128-2019 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
PromoScience Supplement for Science Odyssey
Generation and Verification of High-Performance Mathematical Software and Hardware
高性能数学软硬件的生成和验证
- 批准号:
536628-2018 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
Collaborative Research and Development Grants
Science Literacy week supplement to software: Tool for Change
科学素养周软件补充:变革工具
- 批准号:
542173-2019 - 财政年份:2019
- 资助金额:
$ 0.91万 - 项目类别:
PromoScience Supplement for Science Literacy Week
Science Odyssey
科学奥德赛
- 批准号:
523019-2018 - 财政年份:2018
- 资助金额:
$ 0.91万 - 项目类别:
PromoScience Supplement for Science Odyssey
Approximation algorithms for instruction scheduling
指令调度的近似算法
- 批准号:
498032-2016 - 财政年份:2018
- 资助金额:
$ 0.91万 - 项目类别:
Collaborative Research and Development Grants
Mining for hidden information in scanning electron micrograph subpixels
挖掘扫描电子显微照片子像素中的隐藏信息
- 批准号:
530962-2018 - 财政年份:2018
- 资助金额:
$ 0.91万 - 项目类别:
Engage Grants Program
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