Grau Vicente, Becher Harald, Noble J Alison
Department of Engineering Science, University of Oxford, Oxford OX 1 3PJ, U.K.
IEEE Trans Med Imaging. 2007 Sep;26(9):1154-65. doi: 10.1109/TMI.2007.903568.
Real-time 3-D echocardiography opens up the possibility of interactive, fast 3-D analysis of cardiac anatomy and function. However, at the present time its quantitative power cannot be fully exploited due to the limited quality of the images. In this paper, we present an algorithm to register apical and parasternal echocardiographic datasets that uses a new similarity measure, based on local orientation and phase differences. By using phase and orientation to guide registration, the effect of artifacts intrinsic to ultrasound images is minimized. The presented method is fully automatic except for initialization. The accuracy of the method was validated qualitatively, resulting in 85% of the cardiac segments estimated having a registration error smaller than 2 mm, and no segments with an error larger than 5 mm. Robustness with respect to landmark initialization was validated quantitatively, with average errors smaller than 0.2 mm and 0.5 degrees for initialization landmarks rotations of up to 15 degrees and translations of up to 10 mm.
实时三维超声心动图为心脏解剖结构和功能的交互式快速三维分析提供了可能。然而，目前由于图像质量有限，其定量分析能力尚未得到充分发挥。在本文中，我们提出了一种用于配准心尖和胸骨旁超声心动图数据集的算法，该算法使用了一种基于局部方向和相位差的新相似性度量。通过利用相位和方向来指导配准，超声图像固有伪像的影响被最小化。除初始化外，所提出的方法是完全自动的。该方法的准确性经过了定性验证，结果显示85%的心脏节段估计配准误差小于2毫米，且没有节段误差大于5毫米。关于地标初始化的鲁棒性经过了定量验证，对于高达15度的初始化地标旋转和高达10毫米的平移，平均误差分别小于0.2毫米和0.5度。
