Contour detection of short axis slice MR images for contraction irregularity assessment

A. Muller, A. Neitmann, N. Merkle, J. Wohrle, V. Hombach, H. Kestler
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引用次数: 13

Abstract

A new method for automatically detecting left ventricular endocardial borders in cardiac MRI short-axis slices was applied to a previously published patient group for which manually drawn contours already existed. An initial point lying in the left ventricular endocardium was found by a size invariant circular Hough transform. A coarse segmentation of the endocardial region was completed by merging surrounding regions and building the convex hull. Adjacent time frames were used to remove jitter from the contour movements. A feature (IRM), extracted from those contours, quantified the irregularities of left ventricular contractions. Patients with dilated cardiomyopathy were separated from the control group by thresholding the IRM parameter
短轴切片MR图像收缩不规则性评估的轮廓检测
一种在心脏MRI短轴切片中自动检测左心室心内膜边界的新方法应用于先前发表的已存在手动绘制轮廓的患者组。通过大小不变的圆形霍夫变换,发现起始点位于左室心内膜。通过合并周围区域和构建凸包来完成心内膜区域的粗分割。相邻的时间帧被用来消除轮廓运动中的抖动。从这些轮廓中提取的特征(IRM)量化了左心室收缩的不规则性。采用阈值法将扩张型心肌病患者与对照组分开
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