Lacerda Saulo Guerreiro, da Rocha Adson F, Vasconcelos Daniel F, de Carvalho Joao L A, Sene Iwens G, Camapum Juliana F
Electrical Engineering Department, University of Brasília, DF 70910-900 Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:222-5. doi: 10.1109/IEMBS.2008.4649130.
A new left ventricle segmentation method in two-dimensional echocardiography images is proposed. Image processing techniques combined with radial search and temporal information are used to extract the left ventricle boundary. Borders from sequential images are extracted using the proposed method, and a curve illustrating the area variation within a cardiac cycle is presented. Performance evaluation is performed by comparing the borders obtained from the presented method to those manually prescribed by a medical specialist. The new sequential radial search algorithm improved the border extraction from long-axis ultrasound images, specially the ones where the mitral valve was open. Segmentation errors due to low contrast were corrected.
提出了一种用于二维超声心动图图像的新型左心室分割方法。结合径向搜索和时间信息的图像处理技术被用于提取左心室边界。使用所提出的方法从序列图像中提取边界，并呈现一条说明心动周期内面积变化的曲线。通过将所提出方法获得的边界与医学专家手动划定的边界进行比较来进行性能评估。新的序列径向搜索算法改进了长轴超声图像的边界提取，特别是二尖瓣开放的图像。校正了由于低对比度导致的分割误差。
