A new projection model based robust 2D-3D registration method on Fourier-Mellin space for image guided intervention  

作　　者：魏嵬 Jia Kebin 

机构地区：[1]College of Electric Information and Control Engineering,Beijing University of Technology

出　　处：《High Technology Letters》2013年第4期378-383,共6页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China(No.30970780);Ph.D.Programs Foundation of Ministry of Education ofChina(No.20091103110005)

摘　　要：An automatic method is proposed to solve the registration problem,which aligns a single 2D fluoroscopic image to a 3D image volume without demanding any additional media like calibration plate or user interactions.First,a mathematic projection model is designed which can reduce the influence of projection distortion on parameter optimization and improve the registration accuracy.Then,a two stage optimization method is proposed,which enables a robust registration in a wide parameter space.Furthermore,an automatic registration framework is proposed based on the FourierMellin robust image comparison descriptor.Experimental results show that the registration method has a high accuracy with average rotation error of 0.6 degree and average translation error of 1.4mm.An automatic method is proposed to solve the registration problem,which aligns a single 2D fluoroscopic image to a 3D image volume without demanding any additional media like calibration plate or user interactions.First,a mathematic projection model is designed which can reduce the influence of projection distortion on parameter optimization and improve the registration accuracy.Then,a two stage optimization method is proposed,which enables a robust registration in a wide parameter space.Furthermore,an automatic registration framework is proposed based on the FourierMellin robust image comparison descriptor.Experimental results show that the registration method has a high accuracy with average rotation error of 0.6 degree and average translation error of 1.4mm.

关 键 词：image guided surgery 2D-3D registration digitally reconstructed radiograph （DRR） FFT 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]