Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images

Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat. Currently, typical 3D imaging technologies are expensive and carrying the risk of irradiation exposure. To reduce the potential harm, we only need to take two X-ray images before visualizing the vessels. Our system can effectively reconstruct and visualize vessels in following steps. We first conduct initial segmentation using Markov Random Field and then refine segmentation in an entropy based post-process. We parse the segmented vessels by extracting their centerlines and generating trees. We propose a coarse-to-fine scheme for stereo matching, including initial matching using affine transform and dense matching using Hungarian algorithm guided by Gaussian regression. Finally, we render and visualize the reconstructed model in a HoloLens based AR system, which can essentially change the way of visualizing medical data. We have evaluated its performance by using synthetic and real stereo X-ray images, and achieved satisfactory quantitative and qualitative results.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ99-106
ページ数8
ISBN(電子版)9781538610343
DOI
出版ステータスPublished - 2017 7 1
外部発表はい
イベント16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - Venice, Italy
継続期間: 2017 10 222017 10 29

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
2018-January

Other

Other16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017
国/地域Italy
CityVenice
Period17/10/2217/10/29

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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