| 乔惠婷,赵红俊,程子曼,李德玉,韩金涛.基于DSA动态图像的颅内动脉灌注特征提取[J].中国医学影像技术,2016,32(9):1445~1448 |
| 基于DSA动态图像的颅内动脉灌注特征提取 |
| Features extraction of cerebral vascular perfusion based on DSA dynamic imaging |
| 投稿时间：2016-02-25 修订日期：2016-06-21 |
| DOI：10.13929/j.1003-3289.2016.09.032 |
| 中文关键词: 脑血管疾病 血管造影术,数字减影 灌注成像 |
| 英文关键词:Cerebrovascular disorders Angiography, digital subtraction Perfusion imaging |
| 基金项目: |
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| 中文摘要: |
| 目的 基于临床DSA动态图像提取颅内动脉灌注的特征。方法 回顾性分析11例患者介入手术前后的DSA动态影像数据，分别选取正位大脑中动脉ROI和颈动脉ROI，利用软件平台获取ROI的时间特征曲线，提取达峰时间（TTP）、达峰前曲线积分（PCI）、峰值前曲线拟合斜率（CFS）以及最小最大比值（MIN/MAX）4个灌注特征。对大脑中动脉和颈动脉DSA图像介入治疗术前、术后的上述4个特征进行统计学分析。结果 在颈动脉DSA图像中，PCI、CFS和MIN/MAX术后较术前均明显下降（P<0.05），TTP术后较术前有所上升，但差异无统计学意义。在大脑中动脉DSA图像中，TTP术后较术前有明显上升（P<0.05），PCI、CFS和MIN/MAX术后较术前均明显下降（P<0.05）。结论 基于DSA动态图像提取出的TTP和CFS可表征脑血管的血流速度，MIN/MAX可表征脑血流量的振荡程度，PCI可用来预测高灌注综合征。本文基于DSA提取的颅内动脉灌注特征可用于评价脑血管灌注状态。 |
| 英文摘要: |
| Objective To extract the cerebral perfusion characteristics from the DSA images. Methods A retrospective analysis was made on the 11 cases of stoke with the cerebral vascular interventional surgery. The middle cerebral artery and carotid artery DSA data were obtained, and the time-gray scale curve of the ROI was extracted by using the software platform. And then the curve was analyzed to obtain characteristic parameters, including time-to-peak (TTP), before-peak-curvilinear integral (PCI), curve-fitting-slope (CFS) and the ratio of the minimum and maximum (MIN/MAX). These characteristic parameters were analyzed statistically. Results In the carotid artery, the postoperative PCI, CFS and MIN/MAX were significantly lower than those of the pre-operation (all P<0.05), while the postoperative TTP was higher than that of the pre-operation, but there was no statistical difference. In the middle cerebral artery, the postoperative PCI, CFS and MIN/MAX were significantly lower than those of the pre-operation (all P<0.05), while the postoperative TTP was significantly higher than that of the pre-operation (P<0.05). Conclusion The TTP and CFS extracted from DSA dynamic imaging can represent the blood flow velocity of the cerebral vascular;the MIN/MAX may predict the vibration level;the PCI can be used to predict the hyperperfusion syndrome. The four parameters can be used to evaluate the cerebral perfusion status. |
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