Visualization of the lenticulostriate arteries at 3T using black-blood T1-weighted intracranial vessel wall imaging: comparison with 7T TOF-MRA
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The objective of this study was to explore the feasibility of using intracranial T1-weighted vessel wall imaging (VWI) to visualize the lenticulostriate arteries (LSAs) at 3T.
Material and methods
Thirteen healthy volunteers were examined with VWI at 3T and TOF-MRA at 7T during the same day. On the vascular skeletons obtained by manual tracing, the number of stems and branches of LSAs were counted. On the most prominent branch in every hemisphere, the contrast-to-noise ratio (CNR), the full length and the local length (5-15 mm above MCAs) were measured and compared between the two methods. Nine stroke patients with intracranial artery stenosis were also recruited into the study. The branches of LSAs were compared between the symptomatic and asymptomatic side.
The extracted vascular trees were in good agreement between 7T TOF-MRA and 3T VWI. The two acquisitions showed similar numbers of the LSA stems. The number of branches revealed by 3T VWI was slightly lower than 7T TOF. The full lengths were slightly lower by VWI at 3T (p = 0.011, ICC = 0.917). The measured local lengths (5-15 mm from MCAs) showed high coherence between VWI and TOF-MRA (p = 0.098, ICC = 0.970). In stroke patients, 12 plaques were identified on MCA segments, and nine plaques were located on the symptomatic side. The average numbers of LSA visualized by 3T VWI were 4.3±1.3 on the symptomatic side and 5.0±1.1 on the asymptomatic side.
3T VWI is capable of depicting LSAs, particularly the stems and the proximal segments, with comparable image quality to that of 7T TOF-MRA.
• T1-weighted intracranial VWI at 3T allows for black-blood MR angiography of lenticulostriate artery.
• 3T intracranial VWI depicts the stems and proximal segments of the lenticulostriate arteries comparable to 7T TOF-MRA.
• It is feasible to assess both large vessel wall lesions and lenticulostriate vasculopathy in one scan.
KeywordsMRI angiography Intracranial atherosclerosis Lenticulostriate vasculopathy Stroke
Digital subtraction angiography
Intraclass correlation coefficient
Middle cerebral artery
Minimum intensity projections
Maximum intensity projections
Magnetic resonance imaging
Sampling perfection with application-optimized contrast using different flip angle evolutions
Time-of-flight magnetic resonance angiography
Vessel wall imaging
This study has received funding by Beijing Municipal Natural Science Foundation (7184226), Young Elite Scientists Sponsorship Program by CAST (2017QNRC001), Ministry of Science and Technology of China grant (2015CB351701), National Science Foundation of China (NSFC 91749127), American Heart Association (15SDG25710441), and National Institutes of Health (NHLBI 2R01HL096119).
Compliance with ethical standards
The scientific guarantor of this publication is Qi Yang.
Conflict of interest
Dr. Jing An is an employee of Siemens Shenzhen Magnetic Resonance Ltd. Other authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
Zhuang Tao kindly provided statistical advice for this manuscript.
Written informed consent was obtained from all subjects (patients) in this study.
Institutional Review Board approval was obtained.
• performed at one institution
- 4.Román GC, Erkinjuntti T, Wallin A, Pantoni L, Chui HC (2002) Subcortical ischaemic vascular dementia subcortical ischaemic vascular dementia. Lancet Neurol 1:426–436. https://doi.org/10.1016/S1474-4422(02)00190-4
- 5.Tanriover N, Kawashima M, Rhoton AL Jr, Ulm AJ, Mericle RA (2003) Microsurgical anatomy of the early branches of the middle cerebral artery: morphometric analysis and classification with angiographic correlation. J Neurosurg 98:1277–1290. https://doi.org/10.3171/jns.2003.98.6.1277
- 7.Kang CK, Park CW, Han JY et al (2009) Imaging and analysis of lenticulostriate arteries using 7.0-Tesla magnetic resonance angiography. Magn Reson Med 61:136–144. https://doi.org/10.1002/mrm.21786
- 8.Hendrikse J, Zwanenburg JJ, Visser F, Takahara T, Luijten P (2008) Noninvasive depiction of the lenticulostriate arteries with time-of-flight MR angiography at 7.0 T. Cerebrovasc Dis 26:624–629. https://doi.org/10.1159/000166838
- 10.Kang CK, Park CA, Park CW, Lee YB, Cho ZH, Kim YB (2010) Lenticulostriate arteries in chronic stroke patients visualised by 7 T magnetic resonance angiography. Int J Stroke 5:374–380. https://doi.org/10.1111/j.1747-4949.2010.00464.x
- 11.Kang CK, Park CA, Lee H et al (2009) Hypertension correlates with lenticulostriate arteries visualized by 7T magnetic resonance angiography. Hypertension 54:1050–1056. https://doi.org/10.1161/HYPERTENSIONAHA.109.140350
- 14.Chen YC, Li YH, Lu J, Li WB, Wang JB (2016) Correlation between the reduction in lenticulostriate arteries caused by hypertension and changes in brain metabolism detected with MRI. AJR Am J Roentgenol 206:395–400. https://doi.org/10.2214/AJR.15.14514
- 16.Okuchi S, Okada T, Fujimoto K et al (2014) Visualization of Lenticulostriate Arteries at 3T: Optimization of Slice-selective off-resonance Sinc Pulse-prepared TOF-MRA and its comparison with flow-sensitive black-blood MRA. Acad Radiol 21:812–816. https://doi.org/10.1016/j.acra.2014.03.007 CrossRefGoogle Scholar
- 21.Liao W, Rohr K, Kang C-K, Cho Z-H, Wörz S(2016) Automatic 3D segmentation and quantification of lenticulostriate arteries from high-resolution 7 tesla MRA images. IEEE Trans Image Process 25:400–413. https://doi.org/10.1109/TIP.2015.2499085
- 22.Updegrove A, Wilson NM, Merkow J, Lan H, Marsden AL, Shadden SC (2017) SimVascular: an open source pipeline for cardiovascular simulation. Ann Biomed Eng 45:525–541. https://doi.org/10.1007/s10439-016-1762-8
- 23.Sengupta D, Kahn AM, Burns JC, Sankaran S, Shadden SC, Marsden AL (2012) Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease. Biomech Model Mechanobiol 11:915–932. https://doi.org/10.1007/s10237-011-0361-8
- 25.Mukherjee D, Jani ND, Selvaganesan K, Weng CL, Shadden SC (2016) Computational assessment of the relation between embolism source and embolus distribution to the circle of Willis for improved understanding of stroke etiology. J Biomech Eng 138:081008. https://doi.org/10.1115/1.4033986
- 26.Yamamoto Y, Ohara T, Hamanaka M, Hosomi A, Tamura A, Akiguchi I (2011) Characteristics of intracranial branch atheromatous disease and its association with progressive motor deficits. J Neurol Sci 304:78–82. https://doi.org/10.1016/j.jns.2011.02.006
- 27.Yoon Y, Lee DH, Kang DW, Kwon SU, Kim JS (2013) Single subcortical infarction and atherosclerotic plaques in the middle cerebral artery. Stroke 44:2462–2467. https://doi.org/10.1161/STROKEAHA.113.001467