Lu Xuesong, Suo Shiteng, Liu Haihua, Zhang Su
College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, China.
Comput Aided Surg. 2012;17(1):1-12. doi: 10.3109/10929088.2011.637235.
High Intensity Focused Ultrasound (HIFU) has been successfully applied in tumor therapy. For a successful HIFU therapy, it is crucial to localize the tumor region accurately. In this paper, we present a semi-automatic non-rigid registration method for implementing image guided surgery navigation and localization by matching pre-operative CT/MR images and intra-operative ultrasound images. The global motion of the target is modeled by an affine transformation, while the local deformation of the target is described by Free-Form Deformation (FFD) based on B-splines. The results of our experiments on simulated and real data show that the non-rigid registration method based on HPV interpolation (partial volume based on the Hanning windowed sinc function) is effective at restraining local extrema and improves the accuracy of registration results. A preliminary clinical validation of the use of the non-rigid registration method in image guided localization of a HIFU system is also reported.
高强度聚焦超声(HIFU)已成功应用于肿瘤治疗。对于成功的HIFU治疗,准确地定位肿瘤区域至关重要。在本文中,我们提出了一种半自动非刚性配准方法,通过匹配术前CT/MR图像和术中超声图像来实现图像引导手术导航和定位。目标的全局运动由仿射变换建模,而目标的局部变形则通过基于B样条的自由形式变形(FFD)来描述。我们在模拟数据和真实数据上的实验结果表明,基于HPV插值(基于汉宁窗化正弦函数的部分体积)的非刚性配准方法在抑制局部极值方面是有效的,并提高了配准结果的准确性。还报道了非刚性配准方法在HIFU系统图像引导定位中的初步临床验证。