验证 DSA 的自动独立成分分析。
Validating the Automatic Independent Component Analysis of DSA.
机构信息
From the Department of Biomedical Imaging and Radiological Sciences (J.-S.H., Y.-H.K.).
From the Department of Biomedical Imaging and Radiological Sciences (J.-S.H., Y.-H.K.)
出版信息
AJNR Am J Neuroradiol. 2019 Mar;40(3):540-542. doi: 10.3174/ajnr.A5963. Epub 2019 Jan 24.
Time-density curve analysis of DSA provides useful blood flow information. However, manually selecting the ROI is time-consuming. We developed an automatic technique to provide arterial, capillary, and venous vasculatures with corresponding time-density curves. This study retrospectively analyzed the data of 36 patients with unilateral carotid stenosis. We found that the full width at half maximum of the time-density curve for the automatically segmented capillary vasculature is a suitable representation of the cerebral circulation time.
DSA 的时间密度曲线分析提供了有用的血流信息。然而，手动选择 ROI 非常耗时。我们开发了一种自动技术，可以为动脉、毛细血管和静脉血管提供相应的时间密度曲线。本研究回顾性分析了 36 例单侧颈动脉狭窄患者的数据。我们发现，自动分割的毛细血管血管的时间密度曲线的半最大值全宽是脑循环时间的合适表示。
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