基于二维超声与四维磁共振图像配准的运动肝脏病灶位置估计

C. Weon, W. H. Nam, Duhgoon Lee, Youngkyoo Hwang, Jungbae Kim, Won-Chul Bang, J. Ra
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引用次数: 0

摘要

对于二维超声(US)和术前CT或MR图像之间的注册的兴趣正在增长,用于US引导的诊断,干预和手术。在我们之前的研究中,我们提出了一种无需任何定位传感器的肝脏两幅图像之间的实时自动配准系统。我们已经确认,如果在当前的美国图像中包含足够的特征,该系统可以提供准确可靠的注册性能。在本文中,我们基于先前提出的配准系统,提出了一种鲁棒的运动肝脏病变位置估计系统。该系统通过将包含足够特征的美国图像注册到4D MR图像,间接但可靠地估计病变位置,即使美国图像不包括目标病变。通过定性和定量评估,在三个临床数据集上对该系统进行了评估。实验结果表明,该方法对目标病灶的配准误差平均小于5mm,可用于临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Position estimation of moving liver lesion based on registration between 2D ultrasound and 4D MR images
The interest for the registration between 2D ultrasound (US) and preoperative CT or MR images has been growing for US-guided diagnosis, intervention, and surgery. In our previous study, we proposed a real-time and automatic registration system between two images of the liver without any help of positioning sensors. We have confirmed that the system can provide an accurate and reliable registration performance, if sufficient features are included in a current US image. In this paper, we propose a robust position estimation system of a moving liver lesion based on the previously proposed registration system. The system indirectly but reliably estimates the lesion position by registering a US image including sufficient features to 4D MR images, even if the US image does not include the target lesion. The proposed system is evaluated on three clinical datasets, through both qualitative and quantitative evaluations. Experimental results show that the registration error for target lesions is less than 5 mm on average, which is considered acceptable for many clinical applications.
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