Vertebrae segmentation from X-ray images using convolutional neural network

Min Jun Fu, Chii Jen Lin, Yung Nien Sun, Chan Pang Kuok, Ming Huwi Horng

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

The X-ray examination can effectively help for the diagnosis and analysis of spinal diseases because it possesses the properties of fast, non-invasive, low radiation dose and low cost. In order to obtain the valuable quantitative information of the spine, the automated computer aided tools are developed. The segmentation of vertebrae is an important step to analyze the disease severity from the spinal X-ray images. Although there were numerous studies for automatic vertebrae segmentation in the literature, the segmentation of vertebrae from the frontal X-ray images is still a challenging topic. In this paper, a hybrid method is proposed to segment the thoracic and lumbar vertebrae from an anteroposterior (AP) full spine X-ray image. We apply image processing techniques to detect the vertebral regions and then use the convolutional neural network (CNN) to segment the vertebrae. The segmentation performance using the proposed method is remarkably high with DSC value of 0.941.

原文English
主出版物標題IHIP 2018 - 2018 International Conference on Information Hiding and Image Processing
發行者Association for Computing Machinery
頁面57-61
頁數5
ISBN(電子)9781450365468
DOIs
出版狀態Published - 2018 九月 22
事件1st International Conference on Information Hiding and Image Processing, IHIP 2018 - Manchester, United Kingdom
持續時間: 2018 九月 222018 九月 24

出版系列

名字ACM International Conference Proceeding Series

Conference

Conference1st International Conference on Information Hiding and Image Processing, IHIP 2018
國家/地區United Kingdom
城市Manchester
期間18-09-2218-09-24

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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