Evaluation of Tumor Target Changes Before and After Radiation Therapy Based on PET/CT Deformation Image Registration
Zhang Lulu1, Yang Juan1, Huang Pu1, Zhao Rui1, Ma Changsheng2, Yin Yong2, Li Dengwang1*
1Shandong Provincial Key Laboratory of Medical Physics Image Processing, School of Physics and Electronics Science, Shandong Normal University, Jinan 250014, China; 2Department of Radiology, Shandong Cancer Hospital and Institute, Jinan 250117, China
Abstract：The metabolic information provided by PET images can be used to define the high recurrence region, which is of great significance for accurate treatment planning. This study proposed a multi-resolution deformable registration method to extract the deformation field between CT images in two inter-fractions, and then applied the deformation field to PET images. By defining the SUV (standard uptake value) thresholds we determined the outlines in two PET images and then calculated their overlapping ratio to obtain high uptake regions, which are good for retrospectively performing accurate radiation therapy in the next fraction. Twenty-two patients with lung cancer were included in this study. The preliminary results showed that residual hyper-metabolic region after radiotherapy well overlapped with gross tumor volume (GTV) before radiotherapy: the overlapping ratios were 95.2±0.6%, 96.6±3.4% and 100% with the SUVmax threshold defined to 70%, 80% and 90%, respectively; the overlapping ratio was 86.0±6.6% and 97.0±3.0% with the thresholds confined to SUV2.5 and SUV5.0, respectively. The high overlap rate of the high uptake area of fluorodeoxyglucose showed that the location of the lesion was relatively stable before and after radiotherapy, and the residual tumor after radiotherapy was located in the area of FDG uptake before radiotherapy. Preliminary results showed that this study had a potential ability of determining target reaction to radiotherapy and was good for retrospectively increasing radiation dose to residual tumor target with good protection to organs and tissues, showing potentials of realizing accurate radiotherapy.
张路路,杨娟,黄浦,赵睿,马长升,尹勇,李登旺. 基于PET/CT形变配准技术对放疗前后靶区变化的评估[J]. 中国生物医学工程学报, 2017, 36(4): 394-400.
Zhang Lulu, Yang Juan, Huang Pu, Zhao Rui, Ma Changsheng, Yin Yong, Li Dengwang. Evaluation of Tumor Target Changes Before and After Radiation Therapy Based on PET/CT Deformation Image Registration. Chinese Journal of Biomedical Engineering, 2017, 36(4): 394-400.
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