全方向M型超声心动图运动曲线的自适应检测

介绍一种基于相关性(包括时间相关性、位置相关性和灰度相关性)的全方向M型超声心动图运动曲线的自适应检测技术.该运动曲线代表血液与室壁结构的分界线与取样线(投射波束)的交点位置变化随时间展开的函数,也即代表某一室壁部位的运动轨迹,因而具有非常丰富的相关性信息.在运用运动曲线相关性信息的基础上,采用线状搜索模板与有效搜索范围相结合的层进式策略实施运动曲线的自适应检测.该方法有效提取运动曲线,为进一步的速度场、加速度场等定量分析心脏功能运动的重要参数的提取准备了条件.

Adaptive detection of motion curve in omni -directional M- mode echocardiography images

Presenting a method of motion curve adaptive detection in omni-directional M-mode echocardiography images based on correlation principles including time correlation,position correlation and gray-level correlation.The motion curve stands for the function that intersection position of cardiac boundary and the sampling line(ultrasonic wave-beam) stretched by time,which is equal to the movement track of a certain cardiac part.Combining with correlation information of motion curve,linear template and effective probe range are both employed into hierarchy detection from layer to layer.The hierarchy strategy and correlation information guarantee the exactness of detection.Furthermore,the detection is ready for extracting the important parameters such as velocity and acceleration field data,which is used for quantitative analysis of cardiac function.