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Research ArticleNeurovascular/Stroke Imaging

Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography

Kaiyu Zhang, Halit Akcicek, Gen Shi, Gador Canton, Josh Liu, Yin Guo, Xin Wang, Li Chen, Kristi D. Pimentel, Ebru Yaman Akcicek, Xihe Tang, Yongjian Jin, Xuesong Li, Niranjan Balu, Thomas S. Hatsukami, Mahmud Mossa-Basha, Zhensen Chen and Chun Yuan
American Journal of Neuroradiology October 2024, 45 (10) 1419-1426; DOI: https://doi.org/10.3174/ajnr.A8355
Kaiyu Zhang
aFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America
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Halit Akcicek
bDepartment of Radiology and Imaging Sciences (H.A., E.Y.A., C.Y.), University of Utah, Salt Lake City, Utah
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Gen Shi
cSchool of Engineering Medicine and School of Biological Science and Medical Engineering (G.S.), Beihang University, Beijing, China
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Gador Canton
dDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America
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Josh Liu
aFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America
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Yin Guo
aFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America
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Xin Wang
dDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America
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Li Chen
dDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America
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Kristi D. Pimentel
eDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America
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Ebru Yaman Akcicek
bDepartment of Radiology and Imaging Sciences (H.A., E.Y.A., C.Y.), University of Utah, Salt Lake City, Utah
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Xihe Tang
fDepartment of Neurosurgery (X.T., Y.J.), Aviation General Hospital of China Medical University, Beijing, China
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Yongjian Jin
fDepartment of Neurosurgery (X.T., Y.J.), Aviation General Hospital of China Medical University, Beijing, China
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Xuesong Li
gSchool of Computer Science and Technology (X.L.), Beijing Institute of Technology, Beijing, China
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Niranjan Balu
eDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America
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Thomas S. Hatsukami
hDepartment of Surgery (T.S.H.), University of Washington, Seattle, WA, United States of America
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Mahmud Mossa-Basha
eDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America
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Zhensen Chen
eDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America
iKey Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University)(Z.C.), Ministry of Education, Beijing, China
jInstitute of Science and Technology for Brain-Inspired Intelligence (Z.C.), Fudan University, Shanghai, China
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Chun Yuan
aFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America
bDepartment of Radiology and Imaging Sciences (H.A., E.Y.A., C.Y.), University of Utah, Salt Lake City, Utah
eDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America
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Abstract

BACKGROUND AND PURPOSE: The circle of Willis (COW) is a crucial mechanism for cerebral collateral circulation. This proof-of-concept study aims to develop and assess an analysis method to characterize the hemodynamics of the arterial segments in the COW by using arterial spin-labeling (ASL) based non-contrast-enhanced dynamic MR angiography (dMRA).

MATERIALS AND METHODS: The developed analysis method uses a graph model, bootstrap strategy, and ensemble learning methodologies to determine the time curve shift from ASL dMRA to estimate the flow direction within the COW. The performance of the method was assessed on 52 subjects, by using the flow direction, either antegrade or retrograde, derived from 3D phase-contrast MR imaging as the reference.

RESULTS: A total of 340 arterial segments in the COW were evaluated, among which 30 (8.8%) had retrograde flow according to 3D phase-contrast MRI. The ASL dMRA-based flow direction estimation has an accuracy, sensitivity, and specificity of 95.47%, 80%, and 96.34%, respectively.

CONCLUSIONS: Using ASL dMRA and the developed image analysis method to estimate the flow direction in COW is feasible. This study provides a new method to assess the hemodynamics of the COW, which could be useful for the diagnosis and study of cerebrovascular diseases.

ABBREVIATIONS:

AcomA
anterior communicating artery
ASL
arterial spin-labeling
COW
circle of Willis
dMRA
dynamic MR angiography
PC
phase-contrast
PcomA
posterior communicating artery
TCD
transcranial Doppler
tMIP
temporal dimension maximum intensity projection
  • © 2024 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 45 (10)
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Cite this article
Kaiyu Zhang, Halit Akcicek, Gen Shi, Gador Canton, Josh Liu, Yin Guo, Xin Wang, Li Chen, Kristi D. Pimentel, Ebru Yaman Akcicek, Xihe Tang, Yongjian Jin, Xuesong Li, Niranjan Balu, Thomas S. Hatsukami, Mahmud Mossa-Basha, Zhensen Chen, Chun Yuan
Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography
American Journal of Neuroradiology Oct 2024, 45 (10) 1419-1426; DOI: 10.3174/ajnr.A8355

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Flow Direction in Circle of Willis via ASL
Kaiyu Zhang, Halit Akcicek, Gen Shi, Gador Canton, Josh Liu, Yin Guo, Xin Wang, Li Chen, Kristi D. Pimentel, Ebru Yaman Akcicek, Xihe Tang, Yongjian Jin, Xuesong Li, Niranjan Balu, Thomas S. Hatsukami, Mahmud Mossa-Basha, Zhensen Chen, Chun Yuan
American Journal of Neuroradiology Oct 2024, 45 (10) 1419-1426; DOI: 10.3174/ajnr.A8355
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