经食管超声心动图图像标准视图的自动对齐
Automatic alignment of standard views for transesophageal echocardiographic images.
作者信息
Bølviken Håkon Strand, Gerard Olivier, Veronesi Federico, Samset Eigil
机构信息
University of Oslo, Oslo, Norway.
GE Vingmed Ultrasound, Oslo, Norway.
出版信息
J Med Imaging (Bellingham). 2022 Sep;9(5):057001. doi: 10.1117/1.JMI.9.5.057001. Epub 2022 Oct 31.
PURPOSE
3D transesophageal echocardiography (TEE) has become an important modality for pre- and peri-operative imaging of valvular heart disease. TEE can give excellent visualization of valve morphology in 3D rendering. As a convention, 3D TEE images are reformatted in three standard views. We describe a method for automatic calculation of parameters needed to define the standard views from 3D TEE images using no manual input.
APPROACH
An algorithm was designed to find the center of the mitral valve and the left ventricular outflow tract (OT). These parameters defined the three-chamber view. The problem was modeled as a state estimation problem in which a 3D model was deformed based on shape priors and edge detection using a Kalman filter. This algorithm is capable of running in real time after initialization.
RESULTS
The algorithm was validated by comparing the automatic alignments of 106 TEE images against manually placed landmarks. The median error for determining the mitral valve center was 7.1 mm, and the median error for determining the left ventricular OT orientation was 13.5 deg.
CONCLUSION
The algorithm is an accurate tool for automating the process of finding standard views for TEE images of the mitral valve.
目的
三维经食管超声心动图（TEE）已成为瓣膜性心脏病术前和围手术期成像的重要方式。TEE能够在三维重建中出色地显示瓣膜形态。按照惯例，三维TEE图像会被重新格式化为三个标准视图。我们描述了一种无需手动输入即可从三维TEE图像自动计算定义标准视图所需参数的方法。
方法
设计了一种算法来寻找二尖瓣中心和左心室流出道（OT）。这些参数定义了三腔视图。该问题被建模为一个状态估计问题，其中基于形状先验和使用卡尔曼滤波器的边缘检测对三维模型进行变形。该算法在初始化后能够实时运行。
结果
通过将106幅TEE图像的自动对齐与手动放置的地标进行比较，对该算法进行了验证。确定二尖瓣中心的中位误差为7.1毫米，确定左心室OT方向的中位误差为13.5度。
结论
该算法是一种准确的工具，可自动完成寻找二尖瓣TEE图像标准视图的过程。
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