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Three-dimensional multimodal image non-rigid registration and fusion in a High Intensity Focused Ultrasound system

机译:高强度聚焦超声系统中的三维多模态图像非刚性配准和融合

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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.
机译: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,准确定位肿瘤区域至关重要。在本文中,我们提出了一种半自动化的非刚性配准方法,通过匹配术前CT / MR图像和术中超声图像来实现图像引导的手术导航和定位。通过仿射变换对目标的整体运动进行建模,而通过基于B样条的自由形式变形(FFD)描述目标的局部变形。我们在模拟和真实数据上的实验结果表明,基于HPV插值的非刚性配准方法(基于Hanning窗sinc函数的部分体积)可有效抑制局部极值并提高配准结果的准确性。还报道了在HIFU系统的图像引导定位中使用非刚性配准方法的初步临床验证。

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