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2017
DOI: 10.3174/ajnr.a5158
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Understanding Angiography-Based Aneurysm Flow Fields through Comparison with Computational Fluid Dynamics

Abstract: Several factors affect the reconstruction of 2D flow fields from dynamic angiography sequences. The most important factors are the 3-dimensionality of the intrasaccular flow patterns and inflow jets, the alignment of the main vortex structure with the line of sight, the overlapping of surrounding vessels, and possibly frame rate undersampling. Flow visualization with DSA from >1 projection is required for understanding of the 3D intrasaccular flow patterns. Although these DSA-based flow quantification techniqu… Show more

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Cited by 10 publications
(6 citation statements)
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References 16 publications
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“…The catheter tip was positioned approximately 15 cm upstream of the aneurysm. A projection was chosen to clearly discern the aneurysm and its neck from the parent vessel while avoiding vascular overlap in the feeding artery [ 8 ]. The flow pump was temporarily switched off to avoid movement artifact during VasoCT (220° rotation, 617 single frames at a frame rate of 30/s, 22 cm detector field of view and 512 acquisition matrix).…”
Section: Methodsmentioning
confidence: 99%
“…The catheter tip was positioned approximately 15 cm upstream of the aneurysm. A projection was chosen to clearly discern the aneurysm and its neck from the parent vessel while avoiding vascular overlap in the feeding artery [ 8 ]. The flow pump was temporarily switched off to avoid movement artifact during VasoCT (220° rotation, 617 single frames at a frame rate of 30/s, 22 cm detector field of view and 512 acquisition matrix).…”
Section: Methodsmentioning
confidence: 99%
“…[4][5][6][7] However, the growth in neuro-endovascular treatment has rekindled interest in the use of angiographic techniques for flow assessment in various pathologies. [8][9][10][11][12][13][14] The treatment of aneurysms with flow diverters is particularly amenable to such analysis because (a) the reduction of intraaneurysmal flow remains a central hypothesis of treatment success; (b) flow diversion does not require (dense) intra-saccular device implantation, thus allowing for X-ray visualization of contrast transport within the aneurysm; and (c) instead of the need for extraction of absolute flow parameters, the change in intraaneurysmal contrast transport from pre-device implantation to post-device implantation can potentially be used to predict aneurysm occlusion. Current angiographic methods used to generate predictive values of flow diversion success are generally based on grading scales, 15 quantification of aneurysmal time-density curves (TDC), 8,12,16 or optical flow 10,14 methods.…”
Section: Introductionmentioning
confidence: 99%
“…Basic parameters of aneurysmal concentration-time curves (aC-T curves) such as slopes or mean-transit-time calculations, calculations of variations in image intensity throughout the aneurysm or at the inflow and outflow zones, or curve-fitting of gamma-variate, single-and double-exponential, polynomial, or lagged-normal models to aC-T curves have been used to derive quantities representative of intraneurysmal flow. 31,32,[41][42][43][44][45][46][47][48][49] Derived quantities are then employed to quantify device efficacy by considering the changes in the quantities pre-and post-treatment.…”
Section: Introductionmentioning
confidence: 99%