School of Information Science and Engineering, Key Lab of Intelligent Computing & Information Security in Universities of Shandong, Institute of Life Sciences, Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology and Key Lab of Intelligent Information Processing, Shandong Normal University, Jinan, Shandong 250014, China.
Computer Science and Engineering Technology Department, University of Houston-Downtown, Houston, TX 77002, USA.
J Healthc Eng. 2017;2017:8625951. doi: 10.1155/2017/8625951. Epub 2017 Jul 6.
We propose a novel landmark matching based method for aligning multimodal images, which is accomplished uniquely by resolving a linear mapping between different feature modalities. This linear mapping results in a new measurement on similarity of images captured from different modalities. In addition, our method simultaneously solves this linear mapping and the landmark correspondences by minimizing a convex quadratic function. Our method can estimate complex image relationship between different modalities and nonlinear nonrigid spatial transformations even in the presence of heavy noise, as shown in our experiments carried out by using a variety of image modalities.
我们提出了一种新的基于地标匹配的方法来对齐多模态图像，该方法通过唯一地求解不同特征模态之间的线性映射来实现。这种线性映射导致了一种新的度量，用于度量来自不同模态的图像的相似性。此外，我们的方法通过最小化凸二次函数同时求解这个线性映射和地标对应关系。我们的方法可以估计不同模态之间复杂的图像关系和非线性非刚体空间变换，即使在存在大量噪声的情况下，如我们通过使用各种图像模态进行的实验所示。
