基于医学影像的血流动力学分析

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doi:10.6052/1000-0992-15-042

1.
清华大学生物医学影像研究中心, 北京 100084
2. 清华大学第一附属医院(华信医院), 北京 100084
3. 清华大学医学中心, 北京 100084
4. 首都医科大学附属北京天坛医院北京市神经外科研究所, 北京 100050
5. Division of Neurosurgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
6. Monash Medical Centre, Melbourne, Vic, Australia

基金项目:清华大学2015年度自主科研经费(20141081265)资助项目.

详细信息

通讯作者:
张宇,博士,清华大学医学中心研究员. 1996年于天津大学热能系取得学士学位, 1999年于天津大学热能系取得硕士学位, 2003年于清华大学力学系取得博士学位.取得博士学位后,在中国科学院力学研究所、美国普渡大学、澳大利亚麦考瑞大学、澳大利亚西悉尼大学做访问学者和博士后的研究工作. 2007年被中国科学院力学研究所聘为副研究员, 2014年被清华大学医学中心聘为研究员.自2010年起,研究方向专注于血液动力学,研究的内容包含颈动脉狭窄、血管瘤、支架治疗等.

中图分类号:Q66
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出版历程
- 收稿日期:2015-10-20
- 修回日期:2016-03-14
- 刊出日期:2016-05-20

Medical image based hemodynamic analysis

1.
Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
2. Huaxin Hospital (First Affiliated Hospital of Tsinghua University), Beijing 100084, China
3. Medical Center, Tsinghua University, Beijing 100084, China
4. Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
5. Division of Neurosurgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
6. Monash Medical Centre, Melbourne, Vic, Australia

More Information

Corresponding author:Yu ZHANG

摘要

摘要:随着计算机成像技术的发展,计算机断层扫描(CT)和核磁共振(MRI)已经广泛应用于临床,特别是血管类疾病的诊断,比如动脉狭窄、血管瘤、血管畸形等.除了可以提供高分辨率的静态图像,先进的MRI技术还可以通过时间序列直接反映血流动力学的变化.而基于计算机成像和三维重建技术,血流动力学的参数又可以通过计算流体力学的方法进行详细的分析.如何将血流动力学参数和临床诊断相结合是近年来在转化医学领域研究的热点.结合文献调研和作者自己的研究工作对基于医学图像的血流动力学分析进行综述,并探讨未来的研究方向.
- 血流动力学/
- 相位对比磁共振成像/
- 计算流体力学/
- 血管瘤/
- 动脉狭窄
Abstract:Computed tomography (CT) and magnetic resonance imaging (MRI) are widely used in clinical practice for diagnose of vascular diseases, such as artery stenosis, aneurysm and vascular malformation. Besides static images, the newly developed phase-contrast magnetic resonance imaging (PCMRI) is able to capture hemodynamic parameters from timesequenced scanning; these parameters include velocity magnitude and directions. However, long time scanning is usually required for data collection. Alternatively, hemodynamic parameters can be obtained by image based computational fluid dynamics (CFD), this only demands normal scan of CT or MRI images for 3-D construction. This report will compare both methods, present examples of hemodynamic analysis in clinical application, and discuss the future directions of hemodynamic research.
- hemodynamic/
- PCMRI/
- CFD/
- aneurysm/
- artery stenosis

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