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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-106
Number of pages8
Volume2018-January
ISBN (Electronic)9781538610343
DOIs
Publication statusPublished - 2018 Jan 19
Externally publishedYes
Event16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - Venice, Italy
Duration: 2017 Oct 222017 Oct 29

Other

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

Fingerprint

Blood vessels
Augmented reality
X rays
Affine transforms
Oils and fats
Bone
Entropy
Irradiation
Imaging techniques

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Chen, Q., Bise, R., Gu, L., Zheng, Y., Sato, I., Hwang, J. N., ... Imanishi, N. (2018). Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 (Vol. 2018-January, pp. 99-106). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2017.20

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. / Chen, Qiuyu; Bise, Ryoma; Gu, Lin; Zheng, Yinqiang; Sato, Imari; Hwang, Jenq Neng; Aiso, Sadakazu; Imanishi, Nobuaki.

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 99-106.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, Q, Bise, R, Gu, L, Zheng, Y, Sato, I, Hwang, JN, Aiso, S & Imanishi, N 2018, Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. in Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 99-106, 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017, Venice, Italy, 17/10/22. https://doi.org/10.1109/ICCVW.2017.20
Chen Q, Bise R, Gu L, Zheng Y, Sato I, Hwang JN et al. Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 99-106 https://doi.org/10.1109/ICCVW.2017.20
Chen, Qiuyu ; Bise, Ryoma ; Gu, Lin ; Zheng, Yinqiang ; Sato, Imari ; Hwang, Jenq Neng ; Aiso, Sadakazu ; Imanishi, Nobuaki. / Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 99-106
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