An effective CNN approach for vertebrae segmentation from 3D CT images

Chan Pang Kuok, Jin Yuan Hsue, Ting Li Shen, Bing Feng Huang, Chi Yeh Chen, Yung Nien Sun

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Spine surgery is risky when treating spinal diseases or injuries. In order to decrease the damage of tissue and accelerate the recovery, minimally invasive surgery is strongly desired. Because of this, the preoperative planning and intraoperative guidance become very important. A 3D vertebrae model of the surgical site will be built for these purposes from the computer tomography (CT) images. The segmentation methods of vertebrae from the CT images for modeling are widely concerned. The conventional methods were satisfactory but they usually required prior knowledge of the vertebrae. Recently, the deep learning convolutional neural network (CNN) showed an outstanding performance on the end-to-end semantic image segmentation. Benefit from this, we propose an effective and simple convolution neural network based approach for vertebrae segmentation. Different from training and testing on large 3D data, the axial view images are used effectively in this study. A sequence of simple image processing steps are applied for the intervertebral plane detection. Five CT cases are used on this study and the segmentation results are highly accurate with average dice similarity coefficient over 0.95.

原文English
主出版物標題Proceedings of the 2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings
主出版物子標題Human Rights in Cyberspace, PNC 2018
編輯Shih-Lung Shaw, Ta-Chien Chan, Ling-Jyh Chen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面7-12
頁數6
ISBN(電子)9789869531719
DOIs
出版狀態Published - 2018 十二月 14
事件2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings, PNC 2018 - San Francisco, United States
持續時間: 2018 十月 272018 十月 30

出版系列

名字Proceedings of the 2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings: Human Rights in Cyberspace, PNC 2018

Other

Other2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings, PNC 2018
國家United States
城市San Francisco
期間18-10-2718-10-30

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems and Management
  • Archaeology
  • Computer Networks and Communications
  • Sociology and Political Science
  • Public Administration

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