Analysis of Peripheral MR Velocity Images for Direct Quantification of Pulsatile Pressures
分析外周 MR 速度图像以直接量化脉动压力
基本信息
- 批准号:0730467
- 负责人:
- 金额:$ 27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-01-01 至 2011-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
0730467AminiThe goal of this proposal is to develop a Phase-Contrast (PC) based magnetic resonance imaging (MRI) technique to quantify blood flow velocity and thus to calculate intra-vascular pressure with quantified blood flow velocity by using the Pressure-Poisson Equation. The calculated pressure can be used for the noninvasive diagnosis of peripheral arterial disease. This project will develop new computational and imaging methods to be integrated with MR-based angiography to accomplish noninvasive measurement of geometric and functional data from stenotic and/or occluded arteries. The research methods used will automate the extraction of geometry of vessels, improve the acquisition of blood velocity, and optimize the calculation of pressure chances using MR techniques. The methods developed will be validated with phantoms of several geometries and under both steady and pulsatile flow conditions. Geometry extraction results will be compared against manual expert analysis. Quantification of velocity and pressure profiles would make available a unique noninvasive methodology for assessing and selecting the patients that can benefit the most from revascularization procedures.The proposed project can have an important impact in the fields of bioengineering, medical imaging, and vascular surgery. Furthermore, the project provides an excellent vehicle for interdisciplinary research and education opportunities of both undergraduate and graduate students. An outreach program for minorities and a web site for dissemination of the results are also planned.
0730467 Amini本提案的目标是开发一种基于相位对比(PC)的磁共振成像(MRI)技术,以量化血流速度,从而通过使用压力-泊松方程计算具有量化血流速度的血管内压力。计算的压力可用于外周动脉疾病的无创诊断。该项目将开发新的计算和成像方法,与基于MR的血管造影相结合,以实现狭窄和/或闭塞动脉的几何和功能数据的无创测量。所使用的研究方法将自动提取血管的几何形状,改善血流速度的采集,并优化使用MR技术的压力机会的计算。所开发的方法将验证与phantomy的几个几何形状和稳定和脉动流条件下。几何提取结果将与手动专家分析进行比较。速度和压力分布的量化将提供一个独特的非侵入性的方法来评估和选择病人,可以受益最大的血运重建procedures.The拟议中的项目可以在生物工程,医学成像和血管外科领域产生重要影响。此外,该项目为本科生和研究生的跨学科研究和教育机会提供了一个很好的工具。还计划为少数群体开展一项外联方案,并建立一个网站,以传播研究结果。
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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Amir Amini其他文献
Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation
克服神经外科教育中的障碍:实用脑室造口术模拟的新方法
- DOI:
10.1227/ons.0000000000000272 - 发表时间:
2022 - 期刊:
- 影响因子:2.3
- 作者:
Amir Amini;Yannic Zeller;K. Stein;K. Hartmann;T. Wartmann;C. Wex;Elyas Mirzaee;V. M. Swiatek;S. Saalfeld;A. Haghikia;C. A. Dumitru;I. Sandalcioglu;B. Neyazi - 通讯作者:
B. Neyazi
The Relation between Students’ Mental Health and Tendency toward Risky Behavior in Pishva, Iran
伊朗皮什瓦学生心理健康与危险行为倾向之间的关系
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Fahimeh Mirzakhani;Zahra Ameri;N. Khanjani;Amir Amini;Amir Reza Nabipour - 通讯作者:
Amir Reza Nabipour
Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks
基于采样数据观察器的网络攻击下风力涡轮机振荡的安全控制
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:9.6
- 作者:
Amir Amini;Mohsen Ghafouri;Arash Mohammadi;Ming Hou;A. Asif;K. Plataniotis - 通讯作者:
K. Plataniotis
Combined effect of gilsonite, sasobit, and soft binder on performance characterization of high RAP binder
- DOI:
10.1016/j.conbuildmat.2024.138714 - 发表时间:
2024-11-15 - 期刊:
- 影响因子:
- 作者:
Amir Amini;Hadiseh Parvizi - 通讯作者:
Hadiseh Parvizi
Unveiling rupture risk and clinical outcomes in midline aneurysms: A matched cohort analysis investigating the impact of localization within the anterior or posterior circulation
揭示中线动脉瘤的破裂风险和临床结果:一项匹配队列分析,研究前循环或后循环内定位的影响
- DOI:
10.1007/s10143-024-02310-6 - 发表时间:
2024 - 期刊:
- 影响因子:2.8
- 作者:
V. M. Swiatek;Amir Amini;Celina E. Sandalcioglu Ortuño;L. Spitz;K. Hartmann;Ali Rashidi;K. Stein;Sylvia Saalfeld;I. E. Sandalcioglu;B. Neyazi - 通讯作者:
B. Neyazi
Amir Amini的其他文献
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{{ truncateString('Amir Amini', 18)}}的其他基金
Vision Algorithms for Analysis of Tissue and Fluid Deformations from Medical Images
用于分析医学图像中的组织和流体变形的视觉算法
- 批准号:
9796078 - 财政年份:1996
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
Vision Algorithms for Analysis of Tissue and Fluid Deformations from Medical Images
用于分析医学图像中的组织和流体变形的视觉算法
- 批准号:
9796207 - 财政年份:1996
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
Vision Algorithms for Analysis of Tissue and Fluid Deformations from Medical Images
用于分析医学图像中的组织和流体变形的视觉算法
- 批准号:
9505370 - 财政年份:1995
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
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