Comparison of non-contrast magnetic resonance perfusion and phase-contrast angiography for the quantitative assessment of cerebral blood flow: a prospective cross-sectional study
- Authors: Popov V.V.1,2, Stankevich Y.A.1,2, Bogomyakova O.B.1,2, Tulupov A.A.1,2
-
Affiliations:
- International Tomography Institute, Siberian Branch of the Russian Academy of Sciences
- Novosibirsk State University
- Issue: Vol 6, No 2 (2025)
- Pages: 203-213
- Section: Original Study Articles
- URL: https://journals.rcsi.science/DD/article/view/310210
- DOI: https://doi.org/10.17816/DD636690
- EDN: https://elibrary.ru/MHMUYW
- ID: 310210
Cite item
Full Text
Abstract
BACKGROUND: The validation of quantitative cerebral blood flow assessment using non-contrast magnetic resonance imaging remains unresolved. The optimal approach involves applying a method based on a different physiological model to enhance the reliability of the obtained data.
AIM: To verify the results of quantitative cerebral tissue blood flow assessment using non-contrast MRI against quantitative 2D phase-contrast angiography in healthy adults.
METHODS: The prospective study enrolled healthy adults (aged 18–75 years). Cerebral perfusion was assessed using non-contrast magnetic resonance imaging, while macrovascular blood flow was measured in the vertebral and internal carotid arteries using quantitative 2D phase-contrast angiography. Brain volume and relative mass were evaluated based on T1-weighted image segmentation. Macrovascular blood flow values were converted into tissue perfusion metrics through mathematical adjustment accounting for brain mass.
RESULTS: In the study 80 adults were examined using both methods. Non-contrast magnetic resonance imaging revealed mean perfusion values of 17.88 ± 2.39 mL/100g/min in white matter and 42.06 ± 7.13 mL/100g/min in gray matter, with total cerebral perfusion at 59.63 ± 8.56 mL/100g/min. Total cerebral perfusion calculated from phase-contrast angiography and arterial blood flow velocity was 58.96 ± 8.16 mL/s. A strong positive correlation was found between total cerebral perfusion values derived from non-contrast magnetic-resonance and phase-contrast angiography (r = 0.892; p < 0.001).
CONCLUSION: A strong positive correlation was demonstrated between cerebral perfusion values obtained via non-contrast magnetic resonance imaging and phase-contrast angiography, despite their reliance on distinct physiological models.
Full Text
##article.viewOnOriginalSite##About the authors
Vladimir V. Popov
International Tomography Institute, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Author for correspondence.
Email: popov.v@tomo.nsc.ru
ORCID iD: 0000-0003-3082-2315
SPIN-code: 5473-0707
MD
Russian Federation, 3a Institutskaya st, unit 1, Novosibirsk, 630090; NovosibirskYuliya A. Stankevich
International Tomography Institute, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Email: stankevich@tomo.nsc.ru
ORCID iD: 0000-0002-7959-5160
SPIN-code: 6668-5010
MD, Cand. Sci (Medicine)
Russian Federation, 3a Institutskaya st, unit 1, Novosibirsk, 630090; NovosibirskOlga B. Bogomyakova
International Tomography Institute, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Email: bogom_o@tomo.nsc.ru
ORCID iD: 0000-0002-8880-100X
SPIN-code: 9172-6975
MD, Cand. Sci (Medicine)
Russian Federation, 3a Institutskaya st, unit 1, Novosibirsk, 630090; NovosibirskAndrey A. Tulupov
International Tomography Institute, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Email: taa@tomo.nsc.ru
ORCID iD: 0000-0002-1277-4113
SPIN-code: 6630-8720
MD, Dr. Sci (Medicine), Professor, Corresponding Member of the Russian Academy of Sciences
Russian Federation, 3a Institutskaya st, unit 1, Novosibirsk, 630090; NovosibirskReferences
- Clement P, Petr J, Dijsselhof MBJ, et al. A Beginner's guide to arterial spin labeling (ASL) image processing. Frontiers in Radiology. 2022;2:929533. doi: 10.3389/fradi.2022.929533 EDN: XFALAS
- Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magnetic Resonance in Medicine. 2014;73(1):102–116. doi: 10.1002/mrm.25197
- Taso M, Alsop DC. Arterial spin labeling perfusion imaging. Magnetic Resonance Imaging Clinics of North America. 2024;32(1):63–72. doi: 10.1016/j.mric.2023.08.005EDN: CHWZYK
- Bambach S, Smith M, Morris PP, et al. Arterial spin labeling applications in pediatric and adult neurologic disorders. Journal of Magnetic Resonance Imaging. 2020;55(3):698–719. doi: 10.1002/jmri.27438 EDN: ROGQRS
- Grade M, Hernandez Tamames JA, Pizzini FB, et al. A neuroradiologist’s guide to arterial spin labeling MRI in clinical practice. Neuroradiology. 2015;57(12):1181–1202. doi: 10.1007/s00234-015-1571-z EDN: RHMHQB
- Stankevich YuA, Popov VV, Vasilkiv LM, Tulupov AA. Dynamic assessment of cerebral perfusion blood flow in the early post-stroke period according to non-contrast MRI data. Complex Issues of Cardiovascular Diseases. 2024;13(1):28–35. doi: 10.17802/2306-1278-2024-13-1-28-35 EDN: YAUMMJ
- Yu S, Ma SJ, Liebeskind DS, et al. ASPECTS-based reperfusion status on arterial spin labeling is associated with clinical outcome in acute ischemic stroke patients. Journal of Cerebral Blood Flow & Metabolism. 2017;38(3):382–392. doi: 10.1177/0271678X17697339
- Lyu J, Duan Q, Xiao S, et al. Arterial spin labeling-based MRI estimation of penumbral tissue in acute ischemic stroke. Journal of Magnetic Resonance Imaging. 2022;57(4):1241–1247. doi: 10.1002/jmri.28364 EDN: GRHNQP
- de la Peña MJ, Peña IC, García PG, et al. Early perfusion changes in multiple sclerosis patients as assessed by MRI using arterial spin labeling. Acta Radiol Open. 2019;8(12):2058460119894214. doi: 10.1177/2058460119894214
- Teunissen WHT, Lavrova A, van den Bent M, et al. Arterial spin labelling MRI for brain tumour surveillance: do we really need cerebral blood flow maps? European Radiology. 2023;33(11):8005–8013. doi: 10.1007/s00330-023-10099-z EDN: RCZRAW
- Ngo A, Royer J, Rodriguez-Cruces R, et al. Associations of cerebral blood flow patterns with gray and white matter structure in patients with temporal lobe epilepsy. Neurology. 2024;103(3):e209528. doi: 10.1212/wnl.0000000000209528 EDN: SYGUCB
- Russo A, Silvestro M, Tessitore A, et al. Arterial spin labeling MRI applied to migraine: current insights and future perspectives. The Journal of Headache and Pain. 2023;24(1):71. doi: 10.1186/s10194-023-01597-y EDN: THDPOT
- Xiao Y, Chen S, Zhang Z, et al. Three-dimensional pseudocontinuous arterial spin labeling with dual postlabeling delay for reflecting cerebral blood flow regulation in patients with hydrocephalus: a retrospective cross-sectional study. Quantitative Imaging in Medicine and Surgery. 2024;14(8):5861–5876. doi: 10.21037/qims-24-151 EDN: LISIGE
- Kamphuis ME, Greuter MJW, Slart RHJA, Slump CH. Quantitative imaging: systematic review of perfusion/flow phantoms. European Radiology Experimental. 2020;4(1):15. doi: 10.1186/s41747-019-0133-2 EDN: DTOLUK
- Alisch JSR, Khattar N, Kim RW, et al. Sex and age-related differences in cerebral blood flow investigated using pseudo-continuous arterial spin labeling magnetic resonance imaging. Aging. 2021;13(4):4911–4925. doi: 10.18632/aging.202673 EDN: SGOKGS
- Stankevich Y, Rezakova M, Bogomyakova O, et al. Hemodynamic effects of pathological tortuosity of the internal carotid arteries based on MRI and ultrasound studies. Applied Magnetic Resonance. 2015;46(10):1109–1120. doi: 10.1007/s00723-015-0708-x EDN: UZZHGV
- Stankevich Y, Rezakova M, Olga B, et al. Hemodynamic effects of the carotid abnormalities courses by MRI and ultrasound. Journal of Cardiovascular Magnetic Resonance. 2015;17:P415. doi: 10.1186/1532-429X-17-S1-P415 EDN: UFUKFJ
- Daftari Besheli L, Ahmed A, Hamam O, et al. Arterial spin labeling technique and clinical applications of the intracranial compartment in stroke and stroke mimics - a case-based review. The Neuroradiology Journal. 2022;35(4):437–453. doi: 10.1177/19714009221098806 EDN: KSTCGN
- Azarine A, Garçon P, Stansal A, et al. Four-dimensional flow MRI: principles and cardiovascular applications. RadioGraphics. 2019;39(3):632–648. doi: 10.1148/rg.2019180091
- Boiko AV, Akulov AE, Chupakhin AP, et al. Measurement of viscous flow velocity and flow visualization using two magnetic resonance imagers. Journal of Applied Mechanics and Technical Physics. 2017;58(2):209–213. doi: 10.1134/S0021894417020031EDN: XMXAKZ
- Iutaka T, de Freitas MB, Omar SS, et al. Arterial spin labeling: techniques, clinical applications, and interpretation. Radiographics. 2023;43(1):e220088. doi: 10.1148/rg.220088
- Fantini S, Sassaroli A, Tgavalekos KT, Kornbluth J. Cerebral blood flow and autoregulation: current measurement techniques and prospects for noninvasive optical methods. Neurophotonics. 2016;3(3):031411. doi: 10.1117/1.NPh.3.3.031411
- James JC, Richter D, Tomaske L, et al. Usefulness of computed tomographic perfusion imaging for appropriate diagnosis of acute cerebral vessel occlusion in case of anatomic variations of the circle of Willis. Neurointervention. 2021;16(2):190–193. doi: 10.5469/neuroint.2021.00136 EDN: GDFJES
- Cianfoni A, Colosimo C, Basile M, et al. Brain perfusion CT: principles, technique and clinical applications. La radiologia medica. 2007;112(8):1225–1243. doi: 10.1007/s11547-007-0219-4 EDN: KEWFNT
- Jahng GH, Li KL, Ostergaard L, Calamante F. Perfusion magnetic resonance imaging: a comprehensive update on principles and techniques. Korean Journal of Radiology. 2014;15(5):554. doi: 10.3348/kjr.2014.15.5.554
- Paschoal AM, Woods JG, Pinto J, et al. Reproducibility of arterial spin labeling cerebral blood flow image processing: A report of the ISMRM open science initiative for perfusion imaging (OSIPI) and the ASL MRI challenge. Magnetic Resonance in Medicine. 2024;92(2):836–852. doi: 10.1002/mrm.30081 EDN: QADEOD
- Lee J, Kim HJ. Normal aging induces changes in the brain and neurodegeneration progress: review of the structural, biochemical, metabolic, cellular, and molecular changes. Frontiers in Aging Neuroscience. 2022;14:931536. doi: 10.3389/fnagi.2022.931536 EDN: ZTIDFA
- Hartmann P, Ramseier A, Gudat F, et al. Das Normgewicht des Gehirns beim Erwachsenen in Abhängigkeit von Alter, Geschlecht, Körpergröße und Gewicht. Der Pathologe. 1994;15(3):165–170. doi: 10.1007/s002920050040
- MacDonald ME, Pike GB. MRI of healthy brain aging: A review. NMR in Biomedicine. 2021;34(9):e4564. doi: 10.1002/nbm.4564 EDN: WBJKOS
- Zeinali R, Keshtkar A, Zamani A, Gharehaghaji N. Brain volume estimation enhancement by morphological image processing tools. J Biomed Phys Eng. 2017;7(4):379–388.
- Liu S, Meng T, Russo C, et al. Brain volumetric and fractal analysis of synthetic MRI: A comparative study with conventional 3D T1-weighted images. European Journal of Radiology. 2021;141:109782. doi: 10.1016/j.ejrad.2021.109782 EDN: PFSYZT
- Ota Y, Shah G. Imaging of normal brain aging. Neuroimaging Clinics of North America. 2022;32(3):683–698. doi: 10.1016/j.nic.2022.04.010 EDN: IUITDD
- Nayak KS, Nielsen JF, Bernstein MA, et al. Cardiovascular magnetic resonance phase contrast imaging. Journal of Cardiovascular Magnetic Resonance. 2015;17(1):71. doi: 10.1186/s12968-015-0172-7 EDN: UWNBHL
- Tulupov AA, Korostyshevskaya AM, Savelov AA, et al. Magnetic resonance in the evaluation of circulation and mass transfer in human. Russian Chemical Bulletin. 2021;70(12):2266–2277. doi: 10.1007/s11172-021-3344-7 EDN: SWEVMB
- Wymer DT, Patel KP, Burke WF, Bhatia VK. Phase-contrast MRI: physics, techniques, and clinical applications. RadioGraphics. 2020;40(1):122–140. doi: 10.1148/rg.2020190039 EDN: VAJUKH
- Stankevich YA, Bogomyakova OB, Vasil'kiv LM, Tulupov AA. Features of changes in the hemodynamic characteristics of the main and tissue blood flow in the pathological tortuosity of the internal carotid arteries according to phase-contrast and perfusion magnetic resonance imaging. Clinical Physiology of Circulation. 2019;16(3):217–227. doi: 10.24022/1814-6910-2019-16-3-217-227 EDN: NADGSR
- Han H, Lin Z, Soldan A, et al. Longitudinal Changes in Global Cerebral Blood Flow in Cognitively Normal Older Adults: A Phase-Contrast MRI Study. Journal of Magnetic Resonance Imaging. 2022;56(5):1538–1545. doi: 10.1002/jmri.28133 EDN: DFFVIK
- Taneja K, Liu P, Xu C, et al. Quantitative Cerebrovascular Reactivity in Normal Aging: Comparison Between Phase-Contrast and Arterial Spin Labeling MRI. Front Neurol. 2020; 31(11):758. doi: 10.3389/fneur.2020.00758 EDN: PICWDT
- Chappell M, McConnell F, Golay X, et al. Partial volume correction in arterial spin labeling perfusion MRI: A method to disentangle anatomy from physiology or an analysis step too far? Neuroimage. 2021; 238:118236. doi: 10.1016/j.neuroimage.2021.118236 EDN: SEJXBB
- Zhao M, Mezue M, Segerdahl A, et al. A systematic study of the sensitivity of partial volume correction methods for the quantification of perfusion from pseudo-continuous arterial spin labeling MRI. Neuroimage. 2017;162:384–397. doi: 10.1016/j.neuroimage.2017.08.072
- Muer J, Didier K, Wannebo B, et al. Sex differences in gray matter, white matter, and regional brain perfusion in young, healthy adults. Am J Physiol Heart Circ Physiol. 2024;327(4):847-858. doi: 10.1152/ajpheart.00341.2024.
- Su F, Peng Sh. Range and variability of CBF in young adults: PC-MRI and ASL studies. Int J Imaging Syst Technol. 2024; 34(2):e22986. doi: 10.1002/ima.22986 EDN: APMFSR
- Hu J, Craig M, Knight S, et al. Regional changes in cerebral perfusion with age when accounting for changes in gray-matter volume. Magn Reson Med. 2025;93(4):1807-1820. doi: 10.1002/mrm.30376 EDN: MLWUSN
- Khan MA, Liu J, Tarumi T, et al. Measurement of cerebral blood flow using phase contrast magnetic resonance imaging and duplex ultrasonography. Journal of Cerebral Blood Flow & Metabolism. 2016;37(2):541–549. doi: 10.1177/0271678X16631149
Supplementary files
