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以定量流速分析技術量化顱內血管流速

Using Quantitative Flow Technique for Intracranial Blood Velocity Measurement

摘要


現今分析血管流速主要以都卜勒超音波技術(Duplex Sonography Technique)來偵測血管流速變化,但依照操作者本身的技術及量測角度、位置,可能對於量測結果會有一定變異度。本篇文章探討的研究目的,主要運用相位對比(Phase Contrast)磁振造影當中之定量流速分析技術(Quantitative Flow Technique,Q-FLOW),以其血液流速與相位改變呈正相關之原理,針對20位腦神經症狀患者之右內頸動脈(Right Internal Carotid Artery,RICA)、左內頸動脈(Left Internal Carotid Artery,LICA)、基底動脈(Basal Artery,BA),將取得的資訊透過後處理工作站來量化及分析上述三者血管以取得血管流速,並利用都卜勒超音波分析三者血管流速;預期Q-Flow與Duplex Sonography在偵測血管流速的部分具相關性,並利用Q-Flow取得的血管流速,分析流速低下與血管狹窄的相關性;經皮爾森相關係數(Pearson's correlation coefficients)分析,RICA、BA為高度相關(r=0.73;r=0.82)、LICA為中度相關(r=0.55);利用Q-Flow分析RICA流速低下者有16位,正常者有4位;LICA流速低下者有17位,正常者有3位;BA流速低下者有18位,正常者有2位,Q-Flow能在短時間內取得臨床所需血流數據,達成早期偵測血流異常,預防腦血管疾病等不良健康效應。

並列摘要


In Duplex sonography, a method commonly used for vascular assessment, the velocity of flow is estimated from Doppler shift. However, there are a variety of operator's technical parameters (e.g., frame rate, velocity range, angle correction and position), may causing variation when performing Duplex Sonography of vascular evaluation. The purpose of this chapter mainly uses Quantitative Flow (Q-Flow) Technique in Phase contrast MRI, that phase shift is proportional to velocity. For 20 neural cerebral cases, assess right internal carotid artery (RICA), left internal carotid artery (LICA), basilar artery (BA) information to quantifying and analyzing, to acquire blood velocity through post-processing workstation. In addition, using duplex sonography to assessing blood velocity; anticipating that Q-Flow is proportional to Duplex Sonography, and analyze the correlation between low velocity and stenosis by Q-Flow. Through Pearson's correlation coefficients, RICA(r=9.73), BA(r=0.82) are strong correlation, LICA(r=0.55) is moderate correlation; Using Q-Flow analysis in 20 patients, 16 patients RICA are lower velocity, others are normal, 17 patients LICA are lower velocity, others are normal, 18 patients BA are lower velocity, others are normal. Using Q-Flow can obtain blood velocity data in a short time, to achieve early detection of abnormal blood velocity and prevent adverse health effects such as cerebrovascular accident (CVA) etc.

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