二维超声与术前肝脏图像的无传感器实时配准

Duhgoon Lee, W. H. Nam, D. Hyun, Jae Young Lee, J. Ra
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引用次数: 2

摘要

实时超声(US)和术前图像的同步可以为US引导的介入治疗提供很多信息。为了实现同步,我们提出了一种无需任何传感器的实时肝脏图像配准系统。在该系统中,我们首先通过考虑呼吸的局部变形,生成一个由多个三维图像沿呼吸方向组成的4D术前图像。在术中阶段,我们通过使用多张3D US图像来获得姿态固定的3D US换能器的位姿信息。然后,我们获取二维US图像,并从术前4D图像中实时找到相应的图像。相关的配准是通过比较二维美国图像和生成的二维术前候选图像之间基于梯度的相似性度量来完成的。通过对配准结果的视觉评价,验证了该系统用于图像引导的可行性。
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Sensorless and real-time registration between 2D ultrasound and preoperative images of the liver
Synchronization between real-time ultrasound (US) and preoperative images can provide much information for US-guided intervention. For the synchronization, we present a real-time registration system between the two images of the liver without any help of sensors. In this system, we first generate a 4D preoperative image, which is composed of multiple 3D images along the respiration, by considering their local deformation. In the intraoperative stage, we achieve the pose information of a pose-fixed 3D US transducer by using several 3D US images. We then acquire 2D US images and find their corresponding images in real-time from the 4D preoperative image. The related registration is done by comparing a gradient-based similarity measure between a 2D US image and generated 2D preoperative image candidates. By the visual assessment of registration results, we confirm the feasibility of the proposed system for image-guidance.
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