Wachinger Christian, Wein Wolfgang, Navab Nassir
Computer Aided Medical Procedures (CAMP), TUM, Munich, Germany.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):327-35. doi: 10.1007/978-3-540-75759-7_40.
The creation of 2D ultrasound mosaics is becoming a common clinical practice with a high clinical value. The next step coming along with the increasing availability of 2D array transducers is the creation of 3D mosaics. In the literature of ultrasound registration, the alignment of multiple images has not yet been addressed. Therefore, we propose registration strategies, which are able to cope with problems arising by multiple image alignment. Among others, we use simultaneous registration which urges the usage of multivariate similarity measures. In this paper, we propose alternative multivariate extensions based on a maximum likelihood framework. Experimental results show the good performance of the proposed registration strategies and similarity measures.
二维超声图像拼接技术在临床应用中越来越普遍，具有很高的临床价值。随着二维阵列换能器的广泛应用，下一步将是三维图像拼接技术的开发。在超声图像配准的文献中，尚未涉及多幅图像的对齐问题。因此，我们提出了一些配准策略，能够解决多幅图像对齐时出现的问题。其中，我们使用同步配准，这需要使用多变量相似性度量。在本文中，我们提出了基于最大似然框架的替代多变量扩展方法。实验结果表明，所提出的配准策略和相似性度量具有良好的性能。
