Navigator coronary magnetic resonance
导航冠状动脉磁共振
基本信息
- 批准号:7095717
- 负责人:
- 金额:$ 40.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2000
- 资助国家:美国
- 起止时间:2000-09-30 至 2011-05-31
- 项目状态:已结题
- 来源:
- 关键词:angiocardiographyangiocardioultrasonographyangiographyatherosclerotic plaquebioimaging /biomedical imagingcardiovascular disorder diagnosiscardiovascular imaging /visualizationclinical researchcomputer program /softwarecontrast mediacoronary arterycoronary disorderheart disorder diagnosisheart motionhuman subjectimage enhancementimage processingmagnetic resonance imagingnoninvasive diagnosis
项目摘要
DESCRIPTION (provided by applicant): The broad objective of this research is to develop magnetic resonance imaging (MRJ) techniques that will accurately detect significant lesions in the coronary arteries. MRI offers many advantages over CT and x- ray angiography for imaging coronary artery disease, including rich and adjustable contrasts between different tissues, noninvasive procedures, no use of ionizing radiation, and no risk of nephrotoxicity. Prior studies have demonstrated the feasibility of imaging both the coronary lumen and wall, but diagnostic accuracy is still impaired by motion artifacts. Coronary MR Angiography (MRA) technology is rapidly evolving. Studies in the prior funding cycle have led to several key findings. SSFP has been identified as the best sequence for coronary MRA because of its high SNR efficiency and fast imaging speed. Real time navigator gating provides higher spatial resolution and image quality than breath-holding for coronary MRA. There is still inconsistency in coronary MRA quality because of the use of electrocardiogram and the diaphragm navigator echo, neither of which directly measures coronary motion. We have recently developed the coronary fat navigator method that allows direct and accurate monitoring of coronary motion. Accordingly, we propose here to develop the coronary fat navigator for SSFP coronary MRA to achieve effective motion suppression. We have also developed a simultaneous multiple volume (SMV) algorithm for efficient navigator gating. Preliminary data demonstrate that the SMV algorithm shortens navigator gated scan time by 2-3 fold. Accordingly, we propose to incorporate SMV gating into navigator coronary MRA to shorten scan time. We have also obtained preliminary experience in imaging coronary vessel walls. The navigator technology can be directly employed to reduce motion blurring artifacts in high resolution plaque imaging, which would provide valuable information for characterizing atherosclerotic plaque in coronary arteries. This research consists of two specific aims: 1) develop an efficient and effective navigator method for imaging the coronary lumen and wall; and 2) evaluate the developed coronary MRI in patients with coronary artery disease by comparing to conventional x-ray angiography and intravascular ultrasound.
描述(由申请人提供):本研究的主要目的是开发磁共振成像(MRJ)技术,以准确检测冠状动脉中的重大病变。与CT和X射线血管造影相比,MRI在冠状动脉疾病成像方面具有许多优势,包括不同组织之间的对比度丰富且可调节,无创性程序,不使用电离辐射,无肾毒性风险。先前的研究已经证明了冠状动脉腔和壁成像的可行性,但诊断准确性仍然受到运动伪影的影响。冠状动脉磁共振血管造影(MRA)技术正在迅速发展。上一个供资周期的研究得出了若干重要结论。SSFP因其信噪比高、成像速度快而被认为是冠状动脉MRA的最佳序列。真实的实时导航门控技术为冠状动脉MRA提供了比屏气更高的空间分辨率和图像质量。由于使用心电图和横膈膜导航回波,两者都不能直接测量冠状动脉运动,因此冠状动脉MRA质量仍然不一致。我们最近开发了冠状动脉脂肪导航方法,可以直接和准确地监测冠状动脉运动。因此,我们建议在这里开发用于SSFP冠状动脉MRA的冠状动脉脂肪导航器,以实现有效的运动抑制。我们还开发了一种同步多容积(SMV)算法,用于有效的导航门控。初步数据表明,SMV算法可将导航器门控扫描时间缩短2-3倍。因此,我们建议将SMV门控纳入导航冠状动脉MRA以缩短扫描时间。我们也获得了初步的经验,在成像冠状动脉血管壁。在高分辨率斑块成像中,导航技术可以直接用于减少运动模糊伪影,这将为冠状动脉粥样硬化斑块的特征提供有价值的信息。本研究包括两个特定的目标:1)开发一种高效和有效的导航方法,用于冠状动脉腔和壁成像; 2)通过与传统的X射线血管造影和血管内超声进行比较,评价开发的冠状动脉MRI在冠状动脉疾病患者中的应用。
项目成果
期刊论文数量(0)
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Yi Wang其他文献
<b><span style="font-family:'Times New Roman','serif';font-size:18pt;">Detecting Chaos from Time Series of</span><span style="font-family:宋体;font-size:18pt;"> </span><span style=&quo
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:2.7
- 作者:
Xin Su;Yi Wang;Shengseng Duan;Junhai Ma; - 通讯作者:
bspan style=font-family:Times New Roman,serif;font-size:18pt;Detecting Chaos from Time Series of/spanspan style=font-family:宋体;font-size:18pt; /spanspan style=
从时间序列中检测混沌
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:2.7
- 作者:
Xin Su;Yi Wang;Shengseng Duan;Junhai Ma - 通讯作者:
Junhai Ma
Yi Wang的其他文献
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