ROPES: a semiautomated segmentation method for accelerated analysis of three-dimensional echocardiographic data
ROPES: a semiautomated segmentation method for accelerated analysis of three-dimensional echocardiographic data
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DOI：
10.1109/tmi.2002.804432
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发表时间：
2002-09
影响因子：
10.6
通讯作者：
Ivo Wolf;M. Hastenteufel;Raffaele De Simone;M. Vetter;G. Glombitza;S. Mottl-Link;Christian F Vahl;H. Meinzer
中科院分区：
文献类型：
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作者：
Ivo Wolf;M. Hastenteufel;Raffaele De Simone;M. Vetter;G. Glombitza;S. Mottl-Link;Christian F Vahl;H. Meinzer
超声心动图（心脏超声）是当今定量评估心脏功能和心脏瓣膜病变的主要技术。需要对心脏结构进行分割来确定许多重要的诊断参数。由于心脏是一个运动器官，因此只能从随时间推移的三维 (3-D) 数据 (3-D + 时间 = 4-D) 中获得可靠的信息。由于其大小，生成的四维 (4-D) 数据集无法通过简单的手动分割方法合理访问。自动分割在临床环境中通常会产生不令人满意的结果，特别是对于超声图像。我们描述了一种半自动分割算法（ROPES），它能够大大减少用户交互所需的时间及其从 4-D 超声心动图数据中提取各种参数的应用。在搜索必须满足多尺度边缘标准的候选轮廓点之后，通过最小化线段的成本函数来连接候选轮廓点，然后将线段连接起来形成闭合轮廓。自动检查轮廓的合理性。如有必要，可以应用两种可以交互使用的校正方法（将其他线段拟合到轮廓中并使用宽松的标准搜索其他候选线段）。该方法使用体内经食管超声心动图数据集进行验证。
Echocardiography (cardiac ultrasound) is today the predominant technique for quantitative assessment of cardiac function and valvular heart lesions. Segmentation of cardiac structures is required to determine many important diagnostic parameters. As the heart is a moving organ, reliable information can be obtained only from three-dimensional (3-D) data over time (3-D + time = 4-D). Due to their size, the resulting four-dimensional (4-D) data sets are not reasonably accessible to simple manual segmentation methods. Automatic segmentation often yields unsatisfactory results in a clinical environment, especially for ultrasonic images. We describe a semiautomated segmentation algorithm (ROPES) that is able to greatly reduce the time necessary for user interaction and its application to extract various parameters from 4-D echocardiographic data. After searching for candidate contour points, which have to fulfill a multiscale edge criterion, the candidates are connected by minimizing a cost function to line segments that then are connected to form a closed contour. The contour is automatically checked for plausibility. If necessary, two correction methods that can also be used interactively are applied (fitting of other line segments into the contour and searching for additional candidates with a relaxed criterion). The method is validated using in vivo transesophageal echocardiographic data sets.