基于优化后流动敏感黑血序列的豆纹动脉3T磁共振成像

doi:10.11938/cjmr20160402

波谱学杂志 ›› 2016, Vol. 33 ›› Issue (4): 528-538.doi: 10.11938/cjmr20160402

基于优化后流动敏感黑血序列的豆纹动脉3T磁共振成像

李律¹, 周赜辰¹, 苑纯^1,2, 郭华¹

1. 清华大学医学院生物医学工程系, 生物医学影像研究中心, 北京 100084;
2. Department of Radiology, University of Washington, Seattle, WA98195-5502, USA

收稿日期:2016-03-15 修回日期:2016-10-23 出版日期:2016-12-05 发布日期:2016-12-05
通讯作者: 郭华,电话:010-62795886,E-mail:huaguo@tsinghua.edu.cn E-mail:huaguo@tsinghua.edu.cn
作者简介:李律(1991-),男,浙江宁波人,硕士研究生,生物医学工程专业

Imaging Lenticulostriate Arteries at 3 Tesla Using Optimized Flow-Sensitive Black-Blood Technique

LI Lyu¹, ZHOU Ze-chen¹, YUAN Chun^1,2, GUO Hua¹

1. Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China;
2. Department of Radiology, University of Washington, Seattle, WA 98195-5502, USA

Received:2016-03-15 Revised:2016-10-23 Online:2016-12-05 Published:2016-12-05

摘要/Abstract

摘要： 豆纹动脉是大脑内部的重要动脉，其阻塞往往会导致腔隙性脑梗死．现在在临床上主要利用数字减影血管造影（Digital Subtraction Angiography，DSA）技术实现豆纹动脉成像，然而DSA的有创性是其重要的限制因素．有研究表明，在高场磁共振系统（7 T）下，时间飞跃法（Time-Of-Flight，TOF）已经能够得到较好的豆纹动脉影像，但是在临床使用的1.5 T或3 T磁共振系统下，由于豆纹动脉的管腔直径非常小（大约为0.3~0.7 mm）、血流速度比较慢，对其成像仍然是个挑战．该文主要研究了在3 T磁共振系统下使用流动敏感黑血（Flow-Sensitive Black-Blood，FSBB）序列对豆纹动脉进行成像的方法，并对该成像序列中流动敏感梯度的设计进行了优化，使其在扫描时间和图像分辨率、对比度、信噪比等方面都能够基本满足临床使用的要求．

关键词: 磁共振成像(MRI), 豆纹动脉, 流动敏感黑血(FSBB)技术, 磁共振血管造影(MRA), 梯度优化

Abstract: Occlusion of lenticulostriate arteries (LSAs) often leads to lacunar infarction. Digital subtraction angiography (DSA) has high spatial resolution and superior definition of small vessels, and is the most widely used clinical routine to image LSAs. One drawback of DSA, however, is its invasiveness. Time-of-flight (TOF) magnetic resonance angiography (MRA) was recently shown to be able to image LSAs at ultra-high fields (i.e., 7 T) with specially-designed receiving coils. However, image LSAs with TOF-MRA on clinical MRI systems can be difficult due to the facts that blood flow in LSAs is slow and the luminal diameters in these vessels are small (i.e., 0.3~0.7 mm) relative to the dimension of imaging voxels. In this study, the flow-sensitive black-blood (FSBB) technique was optimized to image LSAs at 3 T to achieve a proper balance among spatial resolution, signal-to-noise ratio and scan time.

Key words: lenticulostriate artery, magnetic resonance angiography(MRA), MRI, flowsensitive black-blood(FSBB) technique, gradient optimization

中图分类号:

O482.53

李律, 周赜辰, 苑纯, 郭华. 基于优化后流动敏感黑血序列的豆纹动脉3T磁共振成像[J]. 波谱学杂志, 2016, 33(4): 528-538.

LI Lyu, ZHOU Ze-chen, YUAN Chun, GUO Hua. Imaging Lenticulostriate Arteries at 3 Tesla Using Optimized Flow-Sensitive Black-Blood Technique[J]. Chinese Journal of Magnetic Resonance, 2016, 33(4): 528-538.

参考文献

[1] Feekes J A, Hsu S W, Chaloupka J C, et al. Tertiary microvascular territories define lacunar infarcts in the basal ganglia[J]. Ann Neurol, 2005, 58(1):18-30.
[2] Feekes J A, Cassell M D. The vascular supply of the functional compartments of the human striatum[J]. Brain, 2006, 129(8):2189-2201.
[3] Marinkovi? S, Gibo H, Milisavljevi? M, et al. Anatomic and clinical correlations of the lenticulostriate arteries[J]. Clin Anat, 2001, 14(3):190-195.
[4] Kang H S, Han M H, Kwon B J, et al. Evaluation of the lenticulostriate arteries with rotational angiography and 3D reconstruction[J]. Am J Neuroradiol, 2005, 26(2):306-312.
[5] Bernstein M A, King K F, Zhou X J. Handbook of MRI Pulse Sequences[M]:USA:Elsevier Academic Press, 2005.
[6] Wang J, Bornert P, Zhao H, et al. Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation[J]. Magn Reson Med, 2013, 69(2):337-345.
[7] Kang C K, Park C W, Han J Y, et al. Imaging and analysis of lenticulostriate arteries using 7.0-Tesla magnetic resonance angiography[J]. Magn Reson Med, 2009, 61(1):136-144.
[8] Kang C K, Park C A, Lee Y B, et al. Micro-vascular imaging experiences of time-of-flight MRA at 7 T for cerebrovascular diseases[J]. Int J Imag Syst Tech, 2014, 24(2):121-128.
[9] Zwanenburg J J, Visser F, Takahara T, et al. Imaging of lenticulostriate arteries at 7 Tesla[C]. Toronto:Proceedings of the 16th Annual Meeting of ISMRM, 2008.
[10] Cho Z H, Kang C K, Han J Y, et al. Observation of the lenticulostriate arteries in the human brain in vivo using 7.0 T MR angiography[J]. Stroke, 2008, 39(5):1604-1606.
[11] Chen Y C, Li M H, Li Y H, et al. Analysis of correlation between the number of lenticulostriate arteries and hypertension based on high-resolution MR angiography findings[J]. Am J Neuroradiol, 2011, 32(10):1899-1903.
[12] Gotoh K, Okada T, Miki Y, et al. Visualization of the lenticulostriate artery with flow-sensitive black-blood acquisition in comparison with time-of-flight MR angiography[J]. J Magn Reson Imaging, 2009, 29(1):65-69.
[13] Okuchi S, Okada T, Fujimoto K, et al. Visualization of lenticulostriate arteries at 3 T:Optimization of slice-selective off-resonance sinc pulse prepared TOF-MRA and its comparison with flow-sensitive black-blood MRA[J]. Acad Radiol, 2014, 21(6):812-816.
[14] Okuchi S, Okada T, Ihara M, et al. Visualization of lenticulostriate arteries by flow-sensitive black-blood MR angiography on a 1.5 T MRI system:A comparative study between subjects with and without stroke[J]. Am J Neuroradiol, 2013, 34(4):780-784.
[15] Gotoh K, Okada T, Miki Y, et al. Visualization of the lenticulostriate artery with flow-sensitive black-blood imaging in comparison with time-of-flight MR angiography[C]. Toronto:Proceedings of the 16 th Annual Meeting of ISMRM, 2008.
[16] Elster A D. Gradient-echo MR imaging:Techniques and acronyms[J]. Radiology, 1993, 186(1):1-8.
[17] Haase A, Frahm J, Matthaei D, et al. Flash imaging-rapid NMR imaging using low flip-angle pulses[J]. J Magn Reson, 1986, 67(2):258-266.
[18] Crawley A P, Wood M L, Henkelman R M. Elimination of transverse coherences in FLASH MRI[J]. Magn Reson Med, 1988, 8(3):248-260.
[19] Duyn J H. Steady state effects in fast gradient echo magnetic resonance imaging[J]. Magn Reson Med, 1997, 37(4):559-568.
[20] Pruessmann K P, Weiger M, Scheidegger M B, et al. SENSE:Sensitivity encoding for fast MRI[J]. Magn Reson Med, 1999, 42(5):952-962.
[21] Griswold M A, Jakob P M, Heidemann R M, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA)[J]. Magn Reson Med, 2002, 47(6):1202-1210.
[22] Huang Min(黄敏), Chen Jun-bo(陈军波), Xiong Qiong(熊琼), et al. Comparison and implementation of commonly-used image reconstruction algorithms in parallel MRI(并行MRI图像重建算法比较及软件实现)[J]. Chinese J Magn Reson(波谱学杂志), 2011, 28(1):99-108.
[23] Marinkovic S, Gibo H, Milisavljevic M, et al. Anatomic and clinical correlations of the lenticulostriate arteries[J]. Clin Anat, 2001, 14(3):190-195.
[24] Kimura T, Ikedo M, Takemoto S. Hybrid of opposite-contrast MR angiography (HOP-MRA) combining time-of-flight and flow-sensitive black-blood contrasts[J]. Magn Reson Med, 2009, 62(2):450-458.

基于优化后流动敏感黑血序列的豆纹动脉3T磁共振成像

Imaging Lenticulostriate Arteries at 3 Tesla Using Optimized Flow-Sensitive Black-Blood Technique

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	魏国境, 易佩伟, 陶泉, 冯衍秋. CEST成像不同量化方式在急性帕金森氏病小鼠模型研究中的应用比较[J]. 波谱学杂志, 2019, 36(2): 195-207.
[2]	刘颖, 宋明辉, 王坤, 章浩伟. 基于全可编程SoC和LabVIEW的磁共振接收系统设计[J]. 波谱学杂志, 2018, 35(4): 475-485.
[3]	汪红志, 赵地, 杨丽琴, 夏天, 周皛月, 苗志英. 基于AI+MRI的影像诊断的样本增广与批量标注方法[J]. 波谱学杂志, 2018, 35(4): 447-456.
[4]	陈海燕, 赵世龙, 李晓南, 刘国强, 胡丽丽, 刘弢. 低场永磁体磁共振射频场映像[J]. 波谱学杂志, 2018, 35(4): 498-504.
[5]	陶泉, 易佩伟, 魏国境, 冯衍秋. 基于CEST机制的pH成像方法、原理和应用[J]. 波谱学杂志, 2018, 35(4): 505-519.
[6]	翟国强, 张苗, 薄斌仕, 王乙, 范明霞, 李建奇. 基于复值和模值的肝脏磁共振水脂分离组合算法[J]. 波谱学杂志, 2018, 35(4): 417-426.
[7]	黄朝晖, 张志, 陈黎, 陈俊飞, 张震, 陈方, 刘朝阳. MRI梯度预加重模块的分时复用设计[J]. 波谱学杂志, 2018, 35(4): 465-474.
[8]	张波, 谢海滨, 严序, 李文静, 杨光. 旋转不变的非局域均值算法在磁共振图像去噪中的应用[J]. 波谱学杂志, 2018, 35(2): 162-169.
[9]	孙炜航, 孙钰, 汪丰, 王超洪, 杨涛. 变延迟进动定制激发(DANTE)序列在工程中的优化设计[J]. 波谱学杂志, 2018, 35(2): 150-161.
[10]	崔妍, 肖亮. 磁共振成像谱仪B₀信号的高精度发生与测试[J]. 波谱学杂志, 2018, 35(2): 170-177.
[11]	马芸, 郭虹, 王秋实, 张伟国, 吴昊. 基于影像的形态学特征与胶质母细胞瘤特征分子表达的相关性研究[J]. 波谱学杂志, 2018, 35(1): 22-30.
[12]	黄丽洁, 宋阳, 赵献策, 谢海滨, 吴东梅, 杨光. 一种结合并行成像和压缩感知的快速磁共振成像新方法[J]. 波谱学杂志, 2018, 35(1): 31-39.
[13]	罗庆, 张成秀, 李文静, 郑慧, 谢海滨, 杨光. 一种新的磁共振图像处理流水线的设计与实现[J]. 波谱学杂志, 2018, 35(1): 40-51.
[14]	宋瑞, 何砚发, 张波. 一种永磁磁共振中磁体涡流场的测量方法[J]. 波谱学杂志, 2018, 35(1): 52-59.
[15]	李宇宙, 张喆, 陈泉荣, 郭华. 一种以超分辨率理论为基础的磁共振眼球成像方法[J]. 波谱学杂志, 2017, 34(4): 439-452.