Time-resolved whole-heart cardiac imaging using highly parallel magnetic resonance

使用高度并行磁共振进行时间分辨全心心脏成像

基本信息

  • 批准号:
    EP/E001076/1
  • 负责人:
  • 金额:
    $ 59.72万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2007
  • 资助国家:
    英国
  • 起止时间:
    2007 至 无数据
  • 项目状态:
    已结题

项目摘要

The broad aim of our research project is to develop new techniques to improve the quality of Magnetic Resonance Imaging (MRI). Our project specifically looks at this in relation to imaging the heart and surrounding area (cardiac imaging). MRI is a safe diagnostic tool providing good images of soft tissue organs and is used routinely for the imaging of static structures such as the brain. However it is not yet widely used for cardiac imaging because MRI is very sensitive to motion. The movement of the beating heart reduces image quality producing blurring and ghosting. A similar effect occurs when someone moves while you are taking their photo, though the mathematics of how the image is affected is different. There are two independent sources of motion: the cardiac contraction (heart beating) and respiratory motion (breathing). It is possible to compensate for the motion associated with cardiac contraction, but respiration is less predictable and consequently harder to compensate. Most cardiac MRI studies are therefore done while the patient holds their breath. Naturally there are limits to how long patients can do this for and therefore the quality of the images can be compromised. A typical cardiac MRI exam requires multiple breath holds and it has to be planned very carefully to ensure that the necessary images are acquired. This planning and the subsequent image analysis require highly trained staff and these are not available at most sites. This is one of the main obstacles for the widespread use of cardiac MRI. In this proposal we aim to develop new, faster and easier ways of acquiring cardiac MR images. We aim to do this by replacing existing 2D methods with 3D techniques. The advantage of this approach is that the whole heart can be imaged during a single acquisition and very little planning is required. To achieve this it is necessary to overcome some of the problems associated with respiratory motion so that the images can be acquired without the patient having to hold their breath. During the acquisition process the motion of the heart due to respiration will be measured and these motion measurements will then be taken into account when forming the images. We will take advantage of the fact that new MRI scanners can now acquire multiple chunks of data (using multiple receive devices) at the same time ( highly parallel imaging ). This enables acceleration of the acquisition and it can provide complementary information about motion. This new technology will complement and facilitate our research in several ways. For example, we will be receiving more information about the effects of the motion on the image thus allowing us to better correct the images. In certain situations, there is a limited amount of overall scan time available for the MR examination. This includes acquisitions where a contrast agent (dye) is injected into the patient. In order to make the best use of the time available for this type of scan we want to avoid acquisition of redundant information. To accomplish this it is necessary to rely on prior information about the movement of the heart and this can potentially degrade the reconstructed images. In this proposal we wish to investigate how we can rely less on prior information, this will involve complicated mathematics to determine the optimal balance between prior information and parallel imaging principles.In summary, the purpose of this proposal is to develop new MR imaging strategies that allow 3D imaging of the heart during free-breathing and under time-constraints. The developed imaging sequences will be tested on both volunteers and patients.
我们的研究项目的广泛目标是开发新技术,以提高磁共振成像(MRI)的质量。我们的项目特别关注心脏和周围区域成像(心脏成像)。MRI是一种安全的诊断工具,可提供软组织器官的良好图像,并常规用于静态结构(如大脑)的成像。然而,它还没有被广泛用于心脏成像,因为MRI对运动非常敏感。跳动的心脏的运动降低了图像质量,产生模糊和重影。当有人在你拍照时移动时,也会发生类似的效果,尽管图像受到影响的数学原理不同。有两个独立的运动源:心脏收缩(心脏跳动)和呼吸运动(呼吸)。可以补偿与心脏收缩相关联的运动,但是呼吸是不可预测的,因此更难补偿。因此,大多数心脏MRI研究都是在患者屏住呼吸的情况下进行的。当然,患者可以这样做多久是有限制的,因此图像的质量可能会受到影响。典型的心脏MRI检查需要多次屏气,并且必须非常仔细地计划以确保采集必要的图像。这种规划和随后的图像分析需要训练有素的工作人员,而这些工作人员在大多数研究中心都不具备。这是心脏MRI广泛应用的主要障碍之一。在这项提案中,我们的目标是开发新的,更快,更容易的方法来获取心脏MR图像。我们的目标是通过用3D技术取代现有的2D方法来做到这一点。这种方法的优点是,整个心脏可以在单次采集期间成像,并且需要很少的规划。为了实现这一点,有必要克服与呼吸运动相关联的一些问题,使得可以在患者不必屏住呼吸的情况下采集图像。在采集过程中,将测量由于呼吸引起的心脏运动,然后在形成图像时将考虑这些运动测量。我们将利用新的MRI扫描仪现在可以同时采集多个数据块(使用多个接收设备)(高度并行成像)的事实。这使得能够加速采集,并且它可以提供关于运动的补充信息。这项新技术将在几个方面补充和促进我们的研究。例如,我们将接收更多关于运动对图像影响的信息,从而使我们能够更好地校正图像。在某些情况下,可用于MR检查的总扫描时间有限。这包括将造影剂(染料)注入患者体内的采集。为了充分利用这种扫描的时间,我们希望避免获取冗余信息。为了实现这一点,有必要依赖于关于心脏运动的先验信息,并且这可能潜在地使重建图像降级。在这个提案中,我们希望研究如何减少对先验信息的依赖,这将涉及复杂的数学来确定先验信息和并行成像原则之间的最佳平衡,总之,这个提案的目的是开发新的MR成像策略,允许在自由呼吸和时间限制下对心脏进行3D成像。开发的成像序列将在志愿者和患者身上进行测试。

项目成果

期刊论文数量(6)
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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Reza Sarvghad Razavi其他文献

Reza Sarvghad Razavi的其他文献

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{{ truncateString('Reza Sarvghad Razavi', 18)}}的其他基金

ESRC IAA 2023
ESRC IAA 2023
  • 批准号:
    ES/X004384/1
  • 财政年份:
    2023
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant
Materials Science Capability for Healthy and Sustainable Living Research at King's College London
伦敦国王学院健康和可持续生活研究的材料科学能力
  • 批准号:
    EP/X035107/1
  • 财政年份:
    2023
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant
EPSRC Capital Award for Core Equipment, King's College London
伦敦国王学院 EPSRC 核心设备资本奖
  • 批准号:
    EP/T023708/1
  • 财政年份:
    2020
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant
EPSRC Core Equipment 2020 - King's College London
EPSRC 核心设备 2020 - 伦敦国王学院
  • 批准号:
    EP/V035983/1
  • 财政年份:
    2020
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant
Grand Challenge: Translating Biomedical Modelling into the Heart of the Clinic
重大挑战:将生物医学模型转化为诊所的核心
  • 批准号:
    EP/F059175/1
  • 财政年份:
    2008
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant
Electro-anatomical Fusion for Guiding EP Procedures and Patient Specific Modelling.
用于指导 EP 手术和患者特定建模的电解剖融合。
  • 批准号:
    EP/D061474/1
  • 财政年份:
    2006
  • 资助金额:
    $ 59.72万
  • 项目类别:
    Research Grant

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