A Constrained Imaging and Registration Scheme Based on Time-varying Anatomical Priors
Deng Liang① Shi Yi-kai① Zhang Jun-tian②
①(School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China) ②(Institute of Materia Medica, Chinese Academy of Medical Sciences, Beijing 100050, China)
Abstract：Due to the time-varying anatomical information in the applications of magnetic resonance dynamic imaging and functional neuroimaging, the traditional constrained imaging suffers the imaging error and the long registration time. In this paper an imaging strategy is proposed to reconstruct rapidly a low-resolution image as the reference image, and make the image registration based on Mutual Information (MI) metric of two images combined with landmark curvature mapping. The proposed method calculates and compares the MI of adjacent frames of temporal image sequences before and after registration to decide whether to update reference images, as well as to verify the registration results. Experimental results show that the proposed method achieves high registration precision and reduces dramatically the computational cost, and thus it can be applied to real-time dynamic imaging.
邓梁, 史仪凯, 张均田. 基于时变医学先验信息的约束成像及图像配准方法[J]. 电子与信息学报, 2013, 35(12): 2942-2947.
Deng Liang, Shi Yi-Kai, Zhang Jun-Tian. A Constrained Imaging and Registration Scheme Based on Time-varying Anatomical Priors. , 2013, 35(12): 2942-2947.
2013, Vol. 35 
