Regional Cerebral Blood Flow Using Quantitative MR Angiography

Zhao, Ming; Amin‐Hanjani, Sepideh; Ruland, Sean; Curcio, Anthony; Ostergren, Lauren; Charbel, Fady T.

doi:10.3174/ajnr.a0582

Cited by 151 publications

(106 citation statements)

References 25 publications

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“…A decrease in BFR between 12% and 21% because of aging was seen in all cerebral arteries (Table 1), which confirms a previous study. 1 The 15% age-related reduction in tCBF between HY and HE, can partly be directly attributed to the 10% decrease in brain volume. For the remaining 5% other age-related factors should play an important role in the reduction of tCBF.…”

Section: Blood Flow Distribution-the Collateral Circulationmentioning

confidence: 99%

See 1 more Smart Citation

Blood Flow Distribution in Cerebral Arteries

Zarrinkoob

Ambarki

Wåhlin

et al. 2015

J Cereb Blood Flow Metab

273

217

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High-resolution phase-contrast magnetic resonance imaging can now assess flow in proximal and distal cerebral arteries. The aim of this study was to describe how total cerebral blood flow (tCBF) is distributed into the vascular tree with regard to age, sex and anatomic variations. Forty-nine healthy young (mean 25 years) and 45 elderly (mean 71 years) individuals were included. Blood flow rate (BFR) in 21 intra-and extracerebral arteries was measured. Total cerebral blood flow was defined as BFR in the internal carotid plus vertebral arteries and mean cerebral perfusion as tCBF/brain volume. Carotid/vertebral distribution was 72%/28% and was not related to age, sex, or brain volume. Total cerebral blood flow (717 ± 123 mL/min) was distributed to each side as follows: middle cerebral artery (MCA), 21%; distal MCA, 6%; anterior cerebral artery (ACA), 12%, distal ACA, 4%; ophthalmic artery, 2%; posterior cerebral artery (PCA), 8%; and 20% to basilar artery. Deviating distributions were observed in subjects with 'fetal' PCA. Blood flow rate in cerebral arteries decreased with increasing age (P o 0.05) but not in extracerebral arteries. Mean cerebral perfusion was higher in women (women: 61 ± 8; men: 55 ± 6 mL/min/100 mL, P o 0.001). The study describes a new method to outline the flow profile of the cerebral vascular tree, including reference values, and should be used for grading the collateral flow system.

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Section: Blood Flow Distribution-the Collateral Circulationmentioning

confidence: 99%

“…Although total cerebral blood flow (tCBF) has been reported to be 616 to 781 mL/min in healthy subjects, 1,2 very few have investigated BFR in the cerebral vascular tree; i.e., the BFR in the circle of Willis (CW) 1 and in more peripheral cerebral arteries.…”

Section: Introductionmentioning

confidence: 99%

Blood Flow Distribution in Cerebral Arteries

Zarrinkoob

Ambarki

Wåhlin

et al. 2015

J Cereb Blood Flow Metab

273

217

View full text Add to dashboard Cite

show abstract

“…In a publication by Zhao et al the cerebral blood flow velocity in several arteries was investigated. 4 The cerebral mean flow rate was 695 ± 113 ml min . Large variations were shown for different arteries: The left internal carotid arteries (ICA) had a mean flow rate of 264 ml min while the left vertebral arteries (LVA) had a mean flow rate of 96 ml min .…”

Section: Introductionmentioning

confidence: 93%

Estimating blood flow velocity in angiographic image data

et al. 2011

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We propose a system to estimate blood flow velocity in angiographic image data for patient-specific blood flow simulations. Angiographies are acquired routinely for diagnosis and before treatment of vascular diseases. Projective blood flow is measured in digital subtraction X-ray angiography (2D-DSA) images by tracking contrast agent propagation. Spatial information is added by re-projecting 2D centerline pixels to the reconstructed 3D X-ray rotation angiography (3D-RA) data of the same subject. Ambiguities caused by occluding vessels from the virtual viewpoint of the acquired 2D-DSA image are resolved by a graph-based approach. The blood flow velocity can be used as boundary condition for exact blood flow simulations that can help physicians to understand hemodynamics of the vasculature. Our focus is to analyze cerebral angiographic data. We performed several experiments with phantom and patient data that proved the accuracy and the functionality of our method. We evaluated experimentally the projective flow estimation method and the re-projection method. We measured mean deviations to the ground truth between 11 % and 15.7 % for phantom data. We also showed the ability of our method to produce plausible results with patient-data.

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“…The details of obtaining a QMRA NOVA report are reported elsewhere. 6,7 NOVA reports were used as the gold standard and reference to validate flow indices. QMRA measurement was limited to the major branches of the Circle of Willis and proximal branches; small arteries are not accessible to NOVA due to limited MR image resolution.…”

Section: Patient Mri Acquisitionmentioning

confidence: 99%

“…Current DSA technology does not display volumetric blood flow rates. Flow in major cerebral blood vessels can be measured with other non-invasive imaging modalities including quantitative magnetic resonance angiography (QMRA), 6,7 Xenon-enhanced cerebral tomography, 8 singlephoton emission computed tomography, 9,10 or transcranial Doppler sonography. 11 Moreover, perfusion studies in computed tomography, magnetic resonance imaging and positron emission tomography 12 enable clinical measurements of microcirculation.…”

Section: Introductionmentioning

confidence: 99%

Cerebral Blood Flow Assessment by Digital Subtraction Angiography

Linninger

Hsu²,

Alaraj³

2016

Radiol Open J

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CitationHsu CY, Alaraj A, Linninger AA. Cerebral blood flow assessment by digital subtraction angiography. ABSTRACTCerebral vascular disease is responsible for nearly 800 000 hospital admissions annually with a total healthcare cost of $34 billion. Neuro-interventional surgery is at the forefront of fast-response assessment and intervention to assess patients' health using digital subtraction angiography (DSA). Unfortunately, cerebral blood flow cannot be reliably measured with DSA during intervention. In this study, we introduced a novel inversion-based method to quantify blood flow from DSA intensity profiles. This technique yields absolute volumetric flow rates in major cerebral arteries comparable in accuracy to QMRA measurements. This remarkable outcome was achieved by incorporating patient-specific anatomical data as well as flow physics into the image analysis. The inversion-based flow assessment is a promising approach to render absolute flow measurements with traditional DSA. We also discuss the precision of several methods for assessing cerebral blood flow before and after intervention in DSA were investigated. Angiographic intensity data in four patients with cerebral vascular diseases were analyzed to compute time-to-peak index (TTPi) and relative cerebral angiographic blood flow index (RCABi). Flow indices were compared with quantitative magnetic resonance angiography acquired pre-and post-intervention. The results suggest that individual intensitybased flow indices do not always reflect blood flow improvements after intervention; twodimensional index maps showed the improvements more robustly.

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Regional Cerebral Blood Flow Using Quantitative MR Angiography

Abstract: BACKGROUND AND PURPOSE:We sought to derive regional cerebral blood flow using vessel flows from quantitative MR angiography (qMRA).

Cited by 151 publications

References 25 publications

Blood Flow Distribution in Cerebral Arteries

Blood Flow Distribution in Cerebral Arteries

Estimating blood flow velocity in angiographic image data

Cerebral Blood Flow Assessment by Digital Subtraction Angiography

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