Guo Yujun, Sivaramakrishna Radhika, Lu Cheng-Chang, Suri Jasjit S, Laxminarayan Swamy
Department of Computer Science, Kent State University, Kent, OH 44242, USA.
Med Biol Eng Comput. 2006 Mar;44(1-2):15-26. doi: 10.1007/s11517-005-0016-y.
Breast cancer is the most common type of cancer in women worldwide. Image registration plays an important role in breast cancer detection. This paper gives an overview of the current state-of-the-art in the breast image registration techniques. For the intramodality registration techniques, X-ray, MRI, and ultrasound are the primary focuses of interest. Intermodality techniques will cover the combination of different modalities. Validation of breast registration methods is also discussed.
乳腺癌是全球女性中最常见的癌症类型。图像配准在乳腺癌检测中起着重要作用。本文概述了乳腺图像配准技术的当前发展水平。对于模态内配准技术，X射线、磁共振成像（MRI）和超声是主要的关注焦点。模态间技术将涵盖不同模态的组合。还讨论了乳腺配准方法的验证。
