首页> 外文会议>International Conference on Signal Processing and Integrated Networks >Parametric models for segmentation of Cardiac MRI database with geometrical interpretation
【24h】

Parametric models for segmentation of Cardiac MRI database with geometrical interpretation

机译:具有几何解释的心脏MRI数据库分割参数模型

获取原文

摘要

There are several medical image modalities which enable a proper diagnosis of Heart Diseases. Magnetic Resonance imaging is one of the most non invasive techniques used by radiologist for diagnosis nowadays. Segmentation of Cardiac MRI is basically dividing the heart into left and right ventricle, where left ventricle plays a vital role. In this paper the segmentation of Left Ventricle using parametric model is done which helps to calculate geometrical parameters. These parameters further helps to distinguish between an abnormal and normal heart. The segmentation is carried out on multi slice MRI frame. Parametric model used in this paper is Active Contour Model which is also called as Snake Model or Deformable model. The geometrical analysis is shown graphically to show the difference between different patient databases. The clinical diagnosis is also made on the physiological parameters like volume of blood and ejection fraction which will be the future extension to this paper.
机译:有几种医学图像模式可以正确诊断心脏病。磁共振成像是当今放射科医生用于诊断的最无创技术之一。心脏MRI的分割基本上是将心脏分为左心室和右心室,其中左心室起着至关重要的作用。本文采用参数模型对左心室进行了分割,这有助于计算几何参数。这些参数进一步有助于区分心脏异常和正常。分割是在多层MRI框架上进行的。本文使用的参数模型是主动轮廓模型,也称为蛇形模型或可变形模型。几何分析以图形方式显示,以显示不同患者数据库之间的差异。还根据诸如血液量和射血分数的生理参数进行临床诊断,这将是本文的未来扩展。

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