详情页 - 首都医科大学宣武医院知识库

当前位置：首页 > 详情页

Quantitative assessment of the intracranial vasculature in an older adult population using iCafe

文献详情

资源类型：

WOS体系：

收录情况： ◇ SCIE

作者：

机构： [a]Department of Electrical Engineering, University of Washington, Seattle, WA, USA [b]Department of Radiology, University of Washington, Seattle, WA, USA [c]Department of Neurology, Xuanwu hospital, Capital Medical University, Beijing, China [d]Wellesley College, Wellesley, MA, USA [e]Biomedical Engineering, Tsinghua University, Beijing, China [f]Department of Surgery, University of Washington, Seattle, WA, USA

出处：

DOI：

ISSN：

关键词： Aging Feature extraction iCafe Intracranial artery Vascular biomarker Vascular change

摘要：

Comprehensive quantification of intracranial artery features may help us assess and understand variations of blood supply during brain development and aging. We analyzed vasculature features of 163 participants (age 56–85 years, mean of 71) from a community study to investigate if any of the features varied with age. Three-dimensional time-of-flight magnetic resonance angiography images of these participants were processed in IntraCranial artery feature extraction technique (a recently developed technique to obtain quantitative features of arteries) to divide intracranial vasculatures into anatomical segments and generate 8 morphometry and intensity features for each segment. Overall, increase in age was found negatively associated with number of branches and average order of intracranial arteries while positively associated with tortuosity, which remained after adjusting for cardiovascular risk factors. The associations with number of branches and average order were consistently found between 3 main intracranial artery regions, whereas the association with tortuosity appeared to be present only in middle cerebral artery/distal arteries. The combination of time-of-flight magnetic resonance angiography and IntraCranial artery feature extraction technique may provide an effective way to study vascular conditions and changes in the aging brain. © 2019 Elsevier Inc.

基金：

语种：

被引次数：

WOS：

PubmedID：

中科院(CAS)分区：

出版当年[2018]版：

大类 | 2 区医学

小类 | 2 区老年医学 2 区神经科学

最新[2023]版：

大类 | 3 区医学

小类 | 3 区老年医学 3 区神经科学

JCR分区：

出版当年[2017]版：

Q1 GERIATRICS & GERONTOLOGY Q1 NEUROSCIENCES

最新[2023]版：

Q2 GERIATRICS & GERONTOLOGY Q2 NEUROSCIENCES

影响因子： 3.7 最新[2023版] 4.1 最新五年平均 4.454 出版当年[2017版] 5.06 出版当年五年平均 5.117 出版前一年[2016版] 4.398 出版后一年[2018版]

第一作者：

第一作者机构： [a]Department of Electrical Engineering, University of Washington, Seattle, WA, USA

通讯作者：

通讯机构： [*1]Department of Radiology, University of Washington, Box 358050 850 Republican St, Rm 127, Seattle, WA, 98109-4714. [b]Department of Radiology, University of Washington, Seattle, WA, USA

推荐引用方式(GB/T 7714)：

APA：

MLA：

相关文献

[1]Quantification of morphometry and intensity features of intracranial arteries from 3D TOF MRA using the intracranial artery feature extraction (iCafe): A reproducibility study [2]Feature extraction of EEG signals from epilepsy patients based on Gabor Transform and EMD decomposition [3]Feature extraction and analysis using wavelet packets for cerebral admittance plethysomgraphy [4]CCEP Feature Extraction and Complex Brain Network Analysis in Epilepsy Patients [5]一种多导联心电QRS波检测方法 [6]Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis [7]Feature Extraction Method of EEG Signals Evaluating Spatial Cognition of Community Elderly With Permutation Conditional Mutual Information Common Space Model [8]Localization of Epileptogenic Zone Based on Cortico-Cortical Evoked Potential (CCEP): A Feature Extraction and Graph Theory Approach. [9]一种多导联心电QRS波检测方法 [10]基于小波包技术的脑血流导纳信号熵特征分析