2020
DOI: 10.1002/mrm.28623
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Semiautomatic cerebrovascular territory mapping based on dynamic ASL MR angiography without vessel‐encoded labeling

Abstract: Characterizing vessel territories can provide crucial information for evaluation of cerebrovascular disorders. In this study, we present a novel postprocessing pipeline for vascular territorial imaging of cerebral arteries based on a noncontrast enhanced time-resolved 4D magnetic resonance angiography (MRA). Methods: Eight healthy participants, 1 Moyamoya patient, and 1 arteriovenous malformations patient were recruited. Territorial segmentation and relative blood flow rate calculations of cerebral arteries in… Show more

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Cited by 3 publications
(2 citation statements)
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“…The supratentorial cerebral arterial territories are of key clinical importance for evaluation of cerebrovascular diseases and may help in the assessment of actual territorial contribution of individual collateral arteries in ischemic cerebrovascular disease patients [25,4]. We employed this vascular territory to compare the performance of two quantitative methods.…”
Section: Idif Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The supratentorial cerebral arterial territories are of key clinical importance for evaluation of cerebrovascular diseases and may help in the assessment of actual territorial contribution of individual collateral arteries in ischemic cerebrovascular disease patients [25,4]. We employed this vascular territory to compare the performance of two quantitative methods.…”
Section: Idif Methodsmentioning
confidence: 99%
“…For clinical interventions of ischemic cerebrovascular disease, the concepts of pathophysiological changes that lead to irreversible tissue damage and of the advances in cerebral compensate based on brain-feeding arteries should play a critical role. Therefore, the quanti cation of pathophysiological changes and regional metabolism is important which may be bene tted to monitor the clinical outcome and recovery effect [2][3][4].…”
Section: Introductionmentioning
confidence: 99%