您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

A Modified Protocol to Evaluate Masseter Morphology Based on Automatic Segmentation and Registration

文献类型： 会议论文

第一作者： Ling Wu

作者： Ling Wu 1 ; Jing Wang 1 ; Xiao-Jing Liu 1 ;

作者机构： 1.Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, and National Center of Stomatology, and National Clinical Research Center for Oral Diseases, and National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China

关键词： Atrophy;Image segmentation;Surface reconstruction;Three-dimensional displays;Protocols;Image color analysis;Computed tomography

会议名称： International Conference on Service Robotics

主办单位：

页码： 85-90

摘要： The purpose of the current study was to develop a modified protocol of evaluating the masseter morphology based on graph-cut automatic segmentation. The protocol was applied in the study on pre and postoperative masseter variation in patients receiving mandibular angle reduction. Computed tomography (CT) was used for the image data analysis. The masseter boundary was automatically segmentate on slices. The bony structure of mandible was segmented by the threshold restrain and three-dimensional (3D) reconstructed using the matching cubes algorithm. The pre- and postoperative images of the bony and masseter structures are overlapped in on coordinate system via the ICP registration. The masseter variation was reflected by the measures of the total volume and the 3D surface meshes through comparison of pre- vs. post-operative data. The average volume of the masseter was 32270.5±9354.1 mm3 prior to the surgery, and decreased to 26376.89±7571.4 mm3 and 26650.7±7179.3 mm3 at 6 and 24 months after surgery, respectively. The variation on the cross section at 6 months after the surgery was 6.4±1.5 mm on the angular plane, 2.2±0.9 mm on the occlusion plan and 0.1±0.1 mm on the zygomatic plane. At 24 months after the surgery, the variation was 6.0±1.1 mm on the angular plane, 0.9±0.5mm on the occlusion plane and 0 mm on the zygomatic plane. The 3D color map of the meshes showed that the variation occurred mainly at angular and lower ramous area. The modified protocol was feasible for the evaluation of the masseter morphological variation. 3D comparison between the masseter meshes with representative color map is a convenient and time-saving method to evaluate the morphological variation after mandibular angle reduction.

分类号： tp24-53

  • 相关文献

[1]Automatic Multi-Atlas Liver Segmentation and Couinaud Classification from CT Volumes. Sofia Pla-Alemany,Juan Antonio Romero,Jose Manuel Santabarbara,Roberto Aliaga,Alicia M. Maceira,David Moratal. 2021

[2]Automated Image Processing Based 3D Printed Scaffolds For Critical Size Bone Fracture Treatment. Abrar Hussain Syed,Ahmadreza Baghaie,Azhar Ilyas. 2022

[3]Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. Liangchen Liu,Benjamin Hou,Manas Kumar Nag,Jianfei Liu,Navid Hasani,Thomas C. Shen,Yingying Zhu,Babak Saboury,Jing Xiao,Ronald M. Summers. 2023

[4]Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. Jiamin Liu,Jinzheng Cai,Karthik Chellamuthu,Mohammadhadi Bagheri,Le Lu,Ronald M. Summers. 2018

[5]Image segmentation of G bands of Triticum monococcum chromosomes based on the model-based neural network. Cai, N,Hu, KH,Xiong, HT,Li, SY,Su, WF,Zhu, FS.

[6]Robust Image Segmentation Method for Cotton Leaf Under Natural Conditions Based on Immune Algorithm and PCNN Algorithm. Zhang, Jianhua,Kong, Fantao,Wu, Jianzhai,Han, Shuqing,Zhai, Zhifen. 2018

[7]Image Segmentation to HSI Model Based on Improved Particle Swarm Optimization. Zhao, Bo,Mao, Wenhua,Zhang, Xiaochao,Chen, Yajun. 2009

[8]A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing. Ma, Juncheng,Du, Keming,Zheng, Feixiang,Chu, Jinxiang,Sun, Zhongfu,Zhang, Lingxian.

[9]Study on Discriminant Model of Flue-Curing Stage of Tobacco Leaves in Curing Process. Zhicheng Wang,Lingfeng Meng,Songfeng Wang,Liangwen Xie,Wengang Li. 2024

[10]A computer aided for image processing of computed tomography in hepatocellular carcinoma. Hsu, Wei-Tai,Yeh, Jia-Rong,Chang, Yi-Chung,Lo, Men-Tzung,Lin, Yi-Hsien. 2011

[11]Unsupervised body part regression via spatially self-ordering convolutional neural networks. Ke Yan,Le Lu,Ronald M. Summers. 2018

[12]A Software Tool for the Measurement of the Aortic Annulus Area by Means of Computed Tomography Image Analysis for the Planning of Transcatheter Aortic Valve Replacement (TAVR). Gloria Campos Hervás,Agustín Fernández Cisnal,Sergio García-Blas,Gema Mi?ana,Ernesto Valero,Juan Sanchis,David Moratal. 2023

[13]Exploring the Impact of Acquisition and Reconstruction Parameters on an Imaging-Based Lung Cancer Risk Model. Luoting Zhuang,Anil Yadav,Grace H Kim,Seyed Mohammad Hossein Tabatabaei,Ashley Prosper,William Hsu. 2024

[14]Image Similarity Ranking of Focal Computed Tomography Liver Lesions Using a 2AFC Technique. Jessica Faruque,Sameer Antani,Rodney Long,Lauren Kim,George Thoma. 2016

[15]Recent trends in hard X-ray tomographic imaging. Bert Muller. 2022

[16]CT with Dual Optimal Reading: compatibility of the two data sets and interpolation issues. H. de las Heras,R. Beatson,W. zu Castell,O. Tischenko,Y. Xu. 2009

[17]Applying High Technology to Enhance Agricultural Land Protection and Rational Utilization. YAN Tailai,YAO Yanmin,TANG Pengqin,LI Runlin. 2010

[18]AUTOMATIC ANATOMICAL LABELING OF ABDOMINAL ARTERIES FOR SMALL BOWEL EVALUATION ON 3D CT SCANS. Weidong Zhang,Jiamin Liu,Jianhua Yao,Ronald M. Summers. 2013

[19]Nuclear Segmentation and its Quantification in H&E Stained Images of Oral Precancer to Detect its Malignant Potentiality. Reetoja Nag,Jyotirmoy Chatterjee,Ranjan Rashmi Paul,Mousumi Pal,Raunak Kumar Das. 2018

[20]Extraction of Settlements in Plains and Mountainous Areas Based on High-Resolution Remote Sensing Data and SAM Segmentation Algorithm. Miao Liu,Shijun Wang,Zhenhai Li,Jing Chen. 2024

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台