Shao Wei, Wu Ruoyun, Ling Keck Voon, Thng Choon Hua, Ho Henry Sun Sien, Cheng Christopher Wai Sam, Ng Wan Sing
School of Electrical and Electronic Engineering, Nanyang Technological University.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):742-9. doi: 10.1007/11866763_91.
Ultrasound is a universal guidance tool for many medical procedures, whereas it is of poor image quality and resolution. Merging high-contrast image information from other image modalities enhances the guidance capability of ultrasound. However, few registration methods work well for it. In this paper we present a surface-to-image registration technique for mono- or multimodal medical data concerning ultrasound. This approach is able to automatically register the object surface to its counterpart in image volume. Three similarity measurements are investigated in the rigid registration experiments of the pubic arch in transrectal ultrasound images. It shown that the selection of the similarity function is related to the ultrasound characteristics of the object to be registered.
超声是许多医疗程序中通用的引导工具，但其图像质量和分辨率较差。融合来自其他图像模态的高对比度图像信息可增强超声的引导能力。然而，很少有配准方法能很好地适用于此。在本文中，我们提出了一种针对超声单模态或多模态医学数据的表面到图像配准技术。这种方法能够自动将物体表面与其在图像体积中的对应物进行配准。在经直肠超声图像中耻骨弓的刚体配准实验中研究了三种相似性度量。结果表明，相似性函数的选择与待配准物体的超声特性有关。
