Automatic Segmentation Method for Cone-Beam Computed Tomography Image of the Bone Graft Region within Maxillary Sinus Based on the Atrous Spatial Pyramid Convolution Network

作     者：XU Jiangchang HE Shamin YU Dedong WU Yiqun CHEN Xiaojun 许江长;何莎敏;于德栋;吴轶群;陈晓军

作者机构：Institute of Biomedical Manufacturing and Life Quality EngineeringState Key Laboratory of Mechanical System and VibrationSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai200240China Department of Second Dental CentreShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineCollege of StomatologyShanghai Jiao Tong UniversityNational Center for StomatologyNational Clinical Research Center for Oral DiseasesShanghai Key Laboratory of StomatologyShanghai200011China Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China 

出 版 物：《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报（英文版）)

年 卷 期：2021年第26卷第3期

页      面：298-305页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 0836[工学-生物工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：the National Key Research and Development Program of China(No.2017YFB1302900) the National Natural Science Foundation of China(Nos.81971709,M-0019,and 82011530141) the Foundation of Science and Technology Commission of Shanghai Municipality(Nos.19510712200,and 20490740700) the Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research(Nos.ZH2018ZDA15,YG2019ZDA06,and ZH2018QNA23) the 2020 Key Research Project of Xiamen Municipal Government(No.3502Z20201030) 

主　　题：atrous spatial pyramid convolution(ASPC) bone graft(BG)region medical image segmentation residual connection 

摘      要：Sinus floor elevation with a lateral window approach requires bone graft(BG)to ensure sufficient bone mass,and it is necessary to measure and analyse the BG region for follow-up of postoperative ***,the BG region from cone-beam computed tomography(CBCT)images is connected to the margin of the maxillary sinus,and its boundary is *** segmentation methods are usually performed manually by experienced doctors,and are complicated by challenges such as low efficiency and low *** this study,an auto-segmentation approach was applied to the BG region within the maxillary sinus based on an atrous spatial pyramid convolution(ASPC)*** ASPC module was adopted using residual connections to compose multiple atrous convolutions,which could extract more features on multiple ***,a segmentation network of the BG region with multiple ASPC modules was established,which effectively improved the segmentation *** the training data were insufficient,our networks still achieved good auto-segmentation results,with a dice coefficient(Dice)of 87.13%,an Intersection over Union(Iou)of 78.01%,and a sensitivity of 95.02%.Compared with other methods,our method achieved a better segmentation effect,and effectively reduced the misjudgement of *** method can thus be used to implement automatic segmentation of the BG region and improve doctors’work efficiency,which is of great importance for developing preliminary studies on the measurement of postoperative BG within the maxillary sinus.