A New Landmark Selection Method for Non-rigid Registration of Medical Brain Images

摘要：

Based on shape context and wavelet transform, a new approach to select automatically the landmarks for non-rigid registration of medical brain images is proposed in this paper. First, the two magnetic resonance (MR) images to be registered are segmented, their skull boundaries and cerebrospinal fluid boundaries are extracted, then shape context is applied to get landmarks on those boundaries and establish the corresponding relationship of landmarks between two images. Given the shape complexity of white matter, the shape context method is then improved with uniformly sampled points replaced by fewer modulus extreme points of wavelet transform on the white matter boundaries. This kind of landmarks can better reflect the shapes but decrease the landmarks number and then reduce the time for establishing their corresponding relationship. Finally, the selected landmarks are applied to make B-spline interpolationbased registration to validate the proposed method. Experimental results demonstrate the extracted landmarks can well reflect the geometry characters, have appropriate number and reasonable distribution in images; using the landmarks, the B-spline interpolation-based registration achieves ideal accuracy and faster speed.

关键词： shape context wavelet transform B-spline nonrigid registration

作者: Hongkui Xu Mingyan Jiang Mingqiang Yang

作者单位: School of Information Science and Engineering, Shandong University, Jinan 250100, China Shandong Jia School of Information Science and Engineering, Shandong University, Jinan 250100, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 920-923

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）