Automated segmentation of CBCT image with prior-guided sequential random forest

Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

A major limitation of CBCT scans is the widespread image artifacts such as noise, beam hardening and inhomogeneity, causing great difficulty for accurate segmentation of bony structures from soft tissues, as well as separation of mandible from maxilla. In this paper, we present a novel fully automated method for CBCT image segmentation. Specifically, we first employ majority voting to estimate the initial probability maps of mandible and maxilla. We then extract both the appearance features from CBCTs and the context features from the initial probability maps to train the first-layer of classifier. Based on the first-layer of trained classifier, the probability maps are updated, which will be employed to further train the next layer of classifier. By iteratively training the subsequent classifier and the updated segmentation probability maps, we can derive a sequence of classifiers. Experimental results on 30 CBCTs show that the proposed method achieves the state-of-the-art performance.

原文English
主出版物標題Medical Computer Vision
主出版物子標題Algorithms for Big Data - International Workshop, MCV 2015 and Held in Conjunction with MICCAI 2015, Revised Selected Papers
編輯Michael Kelm, Henning Müller, Bjoern Menze, Shaoting Zhang, Dimitris Metaxas, Georg Langs, Albert Montillo, Weidong Cai
發行者Springer Verlag
頁面72-82
頁數11
ISBN(列印)9783319420158
DOIs
出版狀態Published - 2016 一月 1
事件International Workshop on Medical Image Computing for Computer Assisted Intervention, 2015 MICCAI - Germany, Germany
持續時間: 2015 十月 92015 十月 9

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9601 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

ConferenceInternational Workshop on Medical Image Computing for Computer Assisted Intervention, 2015 MICCAI
國家Germany
城市Germany
期間15-10-0915-10-09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Wang, L., Gao, Y., Shi, F., Li, G., Chen, K. C., Tang, Z., Xia, J. J., & Shen, D. (2016). Automated segmentation of CBCT image with prior-guided sequential random forest. 於 M. Kelm, H. Müller, B. Menze, S. Zhang, D. Metaxas, G. Langs, A. Montillo, & W. Cai (編輯), Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015 and Held in Conjunction with MICCAI 2015, Revised Selected Papers (頁 72-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9601 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-42016-5_7