超声心动图跟踪的节段性心室壁运动估计方法。
A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram.
机构信息
Department of Information Technology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, 322000, China.
Department of Cardiology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, 322000, China.
出版信息
BMC Med Imaging. 2023 Jul 5;23(1):88. doi: 10.1186/s12880-023-01040-3.
BACKGROUND
Ultrasonic echocardiography is commonly used for monitoring myocardial dysfunction. However, it has limitations such as poor quality of echocardiography images and subjective judgment of doctors.
METHODS
In this paper, a calculation model based on optical flow tracking of echocardiogram is proposed for the quantitative estimation motion of the segmental wall. To improve the accuracy of optical flow estimation, a method based on confidence-optimized multiresolution(COM) optical flow model is proposed to reduce the estimation errors caused by the large amplitude of myocardial motion and the presence of "shadows" and other image quality problems. In addition, motion vector decomposition and dynamic tracking of the ventricular region of interest are used to extract information regarding the myocardial segmental motion. The proposed method was validated using simulation images and 50 clinical cases (25 patients and 25 healthy volunteers) for myocardial motion analysis.
RESULTS
The results demonstrated that the proposed method could track the motion information of myocardial segments well and reduce the estimation errors of optical flow caused due to the use of low-quality echocardiogram images.
CONCLUSIONS
The proposed method improves the accuracy of motion estimation for the cardiac ventricular wall.
背景
超声心动图常用于监测心肌功能障碍。但它存在图像质量不佳和医生主观判断等局限性。
方法
本文提出了一种基于超声心动图光流跟踪的计算模型，用于对节段壁运动进行定量估计。为了提高光流估计的准确性，提出了一种基于置信度优化多分辨率（COM）光流模型的方法，以减少由于心肌运动幅度大以及存在“阴影”和其他图像质量问题引起的估计误差。此外，使用心室感兴趣区域的运动向量分解和动态跟踪来提取心肌节段运动的信息。该方法使用模拟图像和 50 个临床病例（25 个患者和 25 个健康志愿者）进行了心肌运动分析的验证。
结果
结果表明，该方法可以很好地跟踪心肌节段的运动信息，并减少由于使用低质量超声心动图图像而导致的光流估计误差。
结论
该方法提高了心脏室壁运动估计的准确性。
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