首页> 外文会议>International workshop on statistical atlases and computational models of the heart >An Atlas for Cardiac MRI Regional Wall Motion and Infarct Scoring
【24h】

An Atlas for Cardiac MRI Regional Wall Motion and Infarct Scoring

机译:心脏MRI区域墙壁运动和梗塞评分的地图集

获取原文

摘要

Regional wall motion and infarct scoring of MR images are routine clinical tools to grade performance and scarring in the heart. The aim of this paper is to provide a framework for automatic scoring to alert the diagnostician to potential regions of abnormality. We investigated different shape and motion configurations of a finite-element cardiac atlas of the left ventricle. Two patient populations were used: 300 asymptomatic volunteers and 105 patients with myocardial infarction, both randomly selected from the Cardiac Atlas Project database. Support vector machines were employed to estimate the boundaries between the asymptomatic control and patient groups for each of 16 standard anatomical regions in the heart. Ground truth visual wall motion scores from standard cines and infarct scoring from late enhancement were provided by experienced observers. From all configurations, end-systolic shape best predicted wall motion abnormalities (global accuracy 78%, positive predictive value 85%, specificity 91%, sensitivity 60%) and infarct scoring (74%, 72%, 91%, 44%). In conclusion, computer assisted wall motion and infarct scoring has the potential to provide robust identification of those segments requiring further clinical attention; in particular, the high specificity and relatively low sensitivity could help avoid unnecessary late gadolinium rescanning of patients.
机译:MR图像的区域墙壁运动和梗塞评分是常规的临床工具,在心脏中逐步表现和疤痕。本文的目的是提供一种自动评分的框架,以提醒诊断人员对潜在的异常区域。我们调查了左心室的有限元心脏Atlas的不同形状和运动配置。使用了两种患者种群:300例无症状志愿者和105例心肌梗死患者,无论是从心脏ATLAS项目数据库中随机选择的。使用支持向量机用于估计心脏中的16个标准解剖区域中的每一个的无症状控制和患者群之间的界限。经验丰富的观察员提供了从标准CINES和梗塞评分的地面真理视觉墙体运动评分。从所有配置,最终收缩形状最佳预测壁运动异常(全球精度78%,阳性预测值85%,特异性91%,敏感度60%)和梗塞评分(74%,72%,91%,44%)。总之,计算机辅助墙壁运动和梗塞评分有可能为那些需要进一步临床关注的那些段提供鲁棒识别;特别地,高特异性和相对较低的敏感性有助于避免患者的不必要的晚期钆重生。

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