Correspondence Detection Using Wavelet-Based Attribute Vectors

Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm using wavelet-based attribute vectors defined on every image voxel. The attribute vector reflects the anatomical characteristics in a large neighborhood around the respective voxel. It plays the role of a morphological signature for each voxel and is therefore made as distinctive as possible. Correspondence is then determined via similarity of attribute vectors. Experiments with brain MR images show that the algorithm performs at least as well as human experts, even for complex cortical structures.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Zhong Xue, Dinggang Shen, Christos Davatzikos
• Keywords: Correspondence Detection Algorithm, Medical Imaging, MICCAI 2003, Respective Voxel, Wavelet-based Attribute Vectors