Abstract:Objective To study a novel method for the high-dose-rate brachytherapy (HDR) CT image to the intensity modulated radiation therapy (IMRT) CT image deformable image registration and dose accumulation. Methods The applicator in the HDR CT image is first segmented and removed, then a deflation step is performed on the applicator-free HDR CT image by solving the Navier-Stokes equation. Demons algorithm is utilized to register the deflated HDR CT image to the IMRT CT image, along with the HDR dose. The deformed HDR dose is then added on the IMRT dose and yield the final accumulated dose. Results The HDR CT image and IMRT CT image, as well as the corresponding dose distribution, from the cervical cancer patients are used for evaluation of the proposed algorithm, the results show that the proposed method can effectively get rid of the influence of the applicator and produce an accurate accumulated dose. Conclusions Dose accumulation and supervision is an important step in adaptive radiotherapy for accurate dose delivery and treatment plan re-optimization. The proposed method in this study can effectively accumulate the HDR dose to the IMRT dose domain, and the accuracy is proved to be sufficient for clinical needs.
Zhen Xin,Chen Haibin,Xiao Yang et al. A study of deformable image registration of high-dose-rate brachytherapy CT image to intensity modulated radiation therapy CT image[J]. Chinese Journal of Radiation Oncology, 2015, 24(2): 209-211.
[1]Yan D, Vicini F, Wong J, et al. Adaptive radiation therapy[J]. Phys Med Biol,1997,42(1):123-132. [2]Christensen GE, Carlson B, Chao KS, et al. Image-based dose planning of intracavitary brachytherapy:registration of serial-imaging studies using deformable anatomic templates[J]. Int J Radiat Oncol Biol Phys,2001,51(1):227-243. [3]′Agostino E, Maes F, Vandermeulen D, et al. A viscous fluid model for multimodal non-rigid image registration using mutual information[J]. Med Image Anal,2003,7(4):565-575. [4]D′Agostino E, Maes F, Vandermeulen D, et al. A viscous fluid model for multimodal non-rigid image registration using mutual information[J]. Med Imag Anal,2003,7(4):565-575. [5]Christensen GE, Rabbitt RD, Miller MI. Deformable templates using large deformation kinematics[J].IEEE Trans Image Process,1996,5(10):1435-1447. [6]Thirion JP. Image matching as a diffusion process:an analogy with Maxwell′s demons[J]. Med Image Anal,1998,2(3):243-260. [7]Zhen X, Gu X, Yan H, et al. CT to cone-beam CT deformable registration with simultaneous intensity correction[J]. Phys Med Biol,2012,57(21):6807-6826.