| Gu Ying,Xing Penfei,Cai Shang,Qian Jianjun,Fan Qiuhong,Tian Ye.Comparison in precision of image registration between MRI simulation and diagnostic MRI with CT simulation[J].Chinese Journal of Radiological Medicine and Protection,2019,39(11):827-832 |
| Comparison in precision of image registration between MRI simulation and diagnostic MRI with CT simulation |
| Received:March 26, 2019 |
| DOI：10.3760/cma.j.issn.0254-5098.2019.11.005 |
| KeyWords:MRI simulation Image fusion Rigid registration MRI diagnosis Precision |
| FundProject:江苏省重点研发计划专项（BE2018657） |
| Author Name | Affiliation | E-mail | | Gu Ying | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | | | Xing Penfei | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | | | Cai Shang | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | | | Qian Jianjun | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | qianjianjun0628@aliyun.com | | Fan Qiuhong | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | | | Tian Ye | Department of Radiation Oncology, Second Affiliated Hospital of Soochow University, Institute of Radiotherapy&Oncology, Soochow University, Suzhou Key Laboratory for Radiation Oncology, Suzhou 215004, China | |
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| Abstract:: |
| Objective To evaluate the precision of image registration between MRI simulation (MRIsim) and CT simulation compared to diagnostic MRI(MRIdiag) and to provide information for further application of MRIsim. Methods A total of 24 patients who underwent both MRIsim and MRIdiag were enrolled, including 8 patients with gliomas, 8 with nasopharyngeal carcinomas and 8 with prostate cancers. MRIsim and MRIdiag images of each patient were fused with CT. The OARs were delineated on three modalities of images and targets were delineated on fusion image of MRIsim with CT (F_CTMsim) and fusion image of MRIdiag with CT (F_CTMdiag) respectively. The concordance index (CI), Dice's similarity coefficient (DSC) between the OARs and image similarity index (S) based on images from MRIsim, MRIdiag and CT were evaluated. IMRT plans were designed based targets on F_CTMsim and OARs on CT images, and differences in dosimetry of targets and OARs were evaluated subsequently. Results Volumes of most OAR from three modalities of images showed no statistically significant difference(P>0.05). All the CI and DSC between the OARs derived from MRIsim and CT were higher than those corresponding values from MRIdiag, and a statistically significant difference was achieved in 50% of these OARs (t=2.58-5.47, P<0.05). The S values of MRIsim and MRIdiag compared with CT were 0.89 and 0.83 respectively (t=5.77, P<0.05). MRIsim improved the S value by 10% (2%-56%) compared with MRIdiag. No further differences in dosimetry were found on all OARs and all targets(P>0.05). Conclusions The precision of image registration can be significantly improved by introducing MRIsim into radiotherapy planning design compared with MRIdiag. However, no significant differences in dosimetry were found on targets produced by rigid registration and manual adjustment method. |
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