【24h】

Quantification of carotid vessel atherosclerosis

机译:量化颈动脉粥样硬化

获取原文
获取原文并翻译 | 示例

摘要

Atherosclerosis is characterized by the development of plaques in the arterial wall, which ultimately leads to heart attacks and stroke. 3D ultrasound (US) has been used to screen patients' carotid arteries. Plaque measurements obtained from these images may aid in the management and monitoring of patients, and in evaluating the effect of new treatment options. Different types of measures for ultrasound phenotypes of atherosclerosis have been proposed. Here, we report on the development and application of a method used to analyze changes in carotid plaque morphology from 3D US images obtained at two different time points. We evaluated our technique using manual segmentations of the wall and lumen of the carotid artery from images acquired in two US scanning sessions. To incorporate the effect of intra-observer variability in our evaluation, manual segmentation was performed five times each for the arterial wall and lumen. From this set of five segmentations, the mean wall and lumen surfaces were reconstructed, with the standard deviation at each point mapped onto the surfaces. A correspondence map between the mean wall and lumen surfaces was then established, and the thickness of the atherosclerotic plaque at each point in the vessel was estimated to be the distance between each correspondence pairs. The two-sample Student's t-test was used to judge whether the difference between the thickness values at each pair corresponding points of the arteries in the two 3D US images was statistically significant.
机译:动脉粥样硬化的特征是动脉壁斑块的发展,最终导致心脏病发作和中风。 3D超声(美国)已用于筛查患者的颈动脉。从这些图像获得的牙菌斑测量值可能有助于患者的管理和监测,并有助于评估新治疗方案的效果。已经提出了用于动脉粥样硬化的超声表型的不同类型的措施。在这里,我们报告了一种方法的开发和应用,该方法用于分析在两个不同时间点获得的3D US图像中颈动脉斑块形态的变化。我们根据在两次美国扫描会议中获得的图像,对颈动脉壁和管腔进行了手动分割,评估了我们的技术。为了将观察者内部变异的影响纳入我们的评估,对动脉壁和管腔分别进行了五次手动分割。从这五部分的集合中,重建了平均壁和管腔表面,并将每个点的标准偏差映射到表面上。然后在平均壁和管腔表面之间建立对应图,并且将血管中每个点处的动脉粥样硬化斑块的厚度估计为每个对应对之间的距离。使用两个样本的Student t检验来判断两个3D US图像中每对动脉对应点的厚度值之间的差异是否具有统计学显着性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号