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首页> 外文期刊>Computer vision and image understanding >A coarse-to-fine IP-driven registration for pose estimation from single ultrasound image
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A coarse-to-fine IP-driven registration for pose estimation from single ultrasound image

机译：粗略到精细的IP驱动配准，可从单个超声图像估计姿势

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摘要

A fast registration making use of implicit polynomial (IP) models is helpful for the real-time pose estimation from single clinical free-hand Ultrasound (US) image, because it is superior in the areas such as robustness against image noise, fast registration without enquiring correspondences, and fast IP coefficient transformation. However it might lead to the lack of accuracy or failure registration. In this paper, we present a novel registration method based on a coarse-to-fine IP representation. The approach starts from a high-speed and reliable registration with a coarse (of low degree) IP model and stops when the desired accuracy is achieved by a fine (of high degree) IP model. Over the previous IP-to-point based methods our contributions are: (ⅰ) keeping the efficiency without requiring pair-wised correspondences, (ⅱ) enhancing the robustness, and (ⅲ) improving the accuracy. The experimental result demonstrates the good performance of our registration method and its capabilities of overcoming the limitations of unconstrained freehand ultrasound data, resulting in fast, robust and accurate registration.
机译：利用隐式多项式（IP）模型进行快速配准有助于从单个临床徒手超声（US）图像进行实时姿态估计，因为它在诸如抗图像噪声的鲁棒性，无需配准的情况下快速配准等方面具有优势查询对应关系，并快速进行IP系数转换。但是，这可能导致缺乏准确性或失败记录。在本文中，我们提出了一种基于粗略到精细IP表示的新颖注册方法。该方法从使用粗略（低度）IP模型的高速可靠注册开始，而当通过精细（高度）IP模型实现所需的精度时停止。在以前的基于IP到点的方法上，我们的贡献是：（ⅰ）保持效率而无需成对对应关系；（ⅱ）增强鲁棒性；以及（ⅲ）提高准确性。实验结果证明了我们的配准方法的良好性能，以及克服了无约束的徒手超声数据的局限性的能力，从而实现了快速，鲁棒和准确的配准。

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