Modeling of internal carotid artery aneurysm and blood flow simulation

Xu, Bingqiang; Zhong, Hua; Duan, Shaoyin

doi:10.3233/thc-150927

Cited by 2 publications

(4 citation statements)

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“…Vessel filtering methods have been studied by several groups. [10][11][12]17 The Frangi filter is used as a basis in this study given its automation enabling high-throughput analysis and parameter tuning. The background suppression parameter in the Frangi filter enables adjustment of filter performance due to varying image intensity contrast and is automatically determined by Otsu thresholding.…”

Section: Discussionmentioning

confidence: 99%

“…Automated vasculature characterization and diameter measurements not only facilitate clinical applications, but also enables subject‐specific computational fluid dynamic studies. Computational models can be built by using image‐derived parameters for computational fluid dynamic simulations to obtain physical parameters that cannot be reliably measured . These image‐derived metrics quantify the information captured in medical imaging to provide more insight into vascular pathology.…”

mentioning

confidence: 99%

“…Computational models can be built by using image-derived parameters for computational fluid dynamic simulations to obtain physical parameters that cannot be reliably measured. 11,12 These image-derived metrics quantify the information captured in medical imaging to provide more insight into vascular pathology.…”

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confidence: 99%

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Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography

Hsu

Han

et al. 2019

Magnetic Resonance Imaging

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Background Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling. Purpose To characterize longitudinal changes in intracranial vessel diameter using time‐of‐flight (TOF) MRA. Study Type Retrospective longitudinal study. Subject Population IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006–2011 scanned annually. Field Strength/Sequence 1.5T and 3T TOF MRA. Statistical Tests Chi‐square and Wilcoxon–Mann–Whitney tests. Assessment Manual measurements using interventional angiography was established as a reference standard for diameter measurements. Constant and linear quantile regression with absolute difference, percentage difference, and relative difference was used for outlier detection. Results Major vessels surrounding the circle of Willis were successfully segmented except for posterior communicating arteries, mostly due to disease‐related hypoplasia. Diameter measurements were calculated at 1‐mm segments with a median computed vessel diameter of 1.25 mm. Diameter distortion due to registration was within 0.04 mm for 99% of vessel segments. Outlier detection using quantile regression detected less than 4.34% as being outliers. Outliers were more frequent in smaller vessels and proximity to bifurcations (P < 0.001). Data Conclusion Using the proposed method, objective changes in vessel diameter can be acquired noninvasively from routine longitudinal imaging. High‐throughput analyses of imaging‐derived vascular trees combined with clinical and treatment parameters will allow rigorous modeling of vessel diameter changes. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1063–1074.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography

Hsu

Han

et al. 2019

Magnetic Resonance Imaging

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“…More recent patient-specific 3D model studies have been oriented to the carotid haemodynamics in order to establish correlation between blood flow-induced wall shear stress and atherosclerosis using patient-specific carotid models [ 24 – 29 ]. Using patient-specific internal carotid artery (ICA) model, mechanical stresses also has been analysed by blood flow simulation [ 30 ]. In this regard, simple and versatile computational haemodynamic simulation using patient-specific imaging data before treatment is expected to improve treatment quality and allow surgeons to predict treatment results.…”

Section: Introductionmentioning

confidence: 99%

Investigation of blood flow in the external carotid artery and its branches with a new 0D peripheral model

et al. 2016

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BackgroundPatient-specific modelling in clinical studies requires a realistic simulation to be performed within a reasonable computational time. The aim of this study was to develop simple but realistic outflow boundary conditions for patient-specific blood flow simulation which can be used to clarify the distribution of the anticancer agent in intra-arterial chemotherapy for oral cancer.MethodsIn this study, the boundary conditions are expressed as a zero dimension (0D) resistance model of the peripheral vessel network based on the fractal characteristics of branching arteries combined with knowledge of the circulatory system and the energy minimization principle. This resistance model was applied to four patient-specific blood flow simulations at the region where the common carotid artery bifurcates into the internal and external carotid arteries.ResultsResults of these simulations with the proposed boundary conditions were compared with the results of ultrasound measurements for the same patients. The pressure was found to be within the physiological range. The difference in velocity in the superficial temporal artery results in an error of 5.21 ± 0.78 % between the numerical results and the measurement data.ConclusionsThe proposed outflow boundary conditions, therefore, constitute a simple resistance-based model and can be used for performing accurate simulations with commercial fluid dynamics software.

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Modeling of internal carotid artery aneurysm and blood flow simulation

Abstract: It is effective and practical to construct the model of ICA-A base on CTA data. Blood flow simulation of ICA-A will provide new basis for the study on the occurrence and development of aneurysm.

Cited by 2 publications

References 5 publications

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography

Investigation of blood flow in the external carotid artery and its branches with a new 0D peripheral model

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