首页> 外文会议> >Automated detection of left ventricular epi- and endocardial contours in short-axis MR images
【24h】

Automated detection of left ventricular epi- and endocardial contours in short-axis MR images

机译:在短轴MR图像中自动检测左心室上膜和心内膜轮廓

获取原文

摘要

Quantitative analysis of global and regional left ventricular function from short-axis multi-slice Cine MR imaging studies currently requires manual tracing of endo- and epicardial contours in many images. To circumvent the limitations which are associated with manual contour tracing procedures, a software package (MASS: MR Analytical Software System) has been developed with automated contour detection. The contour detection follows a model-based approach incorporating the assumption that contours and images exhibit a gradual change from phase to phase and from slice to slice. The user may interact with the automated contour detection to control the analysis procedure and to avoid the potential risk of error propagation. Compared to manually obtained results, the contour detection software accurately assessed endocardial volumes, epicardial volumes and ejection fraction (correlation coefficients: 0.90-0.97). Total average analysis time for a complete imaging study was 25 minutes.
机译:从短轴多层Cine MR影像学研究对整体和区域性左心室功能进行定量分析,目前需要在许多图像中手动追踪心内膜和心外膜轮廓。为了规避与手动轮廓跟踪程序相关的限制,已开发了具有自动轮廓检测功能的软件包(MASS:MR分析软件系统)。轮廓检测遵循基于模型的方法,该方法结合了以下假设:轮廓和图像在相与相之间以及从切片到切片显示出逐渐的变化。用户可以与自动轮廓检测进行交互,以控制分析过程并避免错误传播的潜在风险。与手动获得的结果相比,轮廓检测软件可以准确评估心内膜体积,心外膜体积和射血分数(相关系数:0.90-0.97)。一项完整的影像研究的总平均分析时间为25分钟。

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