Abstract

Info

Author(s):: LI Hanwei; CUI Feiyi; LING Qingqing; LI Zuojia; XIA Jingtao; QI Hongliang; CHEN Hongwen; Department of Clinical Engineering, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

Keywords:: Keywords: image registration Fourier-Mellin image-guided radiotherapy

Abstract:: Abstract: Objective To propose a novel 2D/3D image registration frame in image guided radiotherapy system for reducing the time for iterative search and ensuring the registration accuracy required for radiotherapy. Methods Fourier-Mellin transformation algorithm was adopted for coarse registration between kV digital radiographs and the corresponding digitally reconstructed radiographs (DRR) generated by CT images in posteroanterior view and lateral view. The 3D position errors of CT images which were estimated based on the 2D translation vector calculated by Fourier-Mellin transformation and the geometric parameters of the radiotherapy system were used for updating the DRR in posteroanterior view and lateral view, and the precise registration between kV images and the DRR images was completed using image similarity metric. Results The validation on the clinical gold standard data set showed that the registration error was 0.576 5 mm and that the average running time was 3.34 s. Conclusion The proposed method is suitable for clinical application with good robustness, insensitive to image noise and less human intervention.