Reconstruction and error detection of blood vessel network from ultrasound volume data

Kohji Masuda, Antoine Bossard, Yuki Sugano, Toshikazu Kato, Shinya Onogi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Recently, we described a reconstruction method of the blood vessel network by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include error detections and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a system including an abstraction method for the blood vessel network. Such a model is then analyzed through graph theory and error patterns in the reconstructed network. We proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. We were able to reconstruct the blood vessel network of an in vitro artificial capillary with multi-bifurcations. Results show that our system successfully reconstructed the corresponding networks as much as the limitation of resolution of echography.

本文言語英語
ホスト出版物のタイトルProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
ページ497-501
ページ数5
DOI
出版ステータス出版済み - 2013
外部発表はい
イベント26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, ポルトガル
継続期間: 6 20 20136 22 2013

その他

その他26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
国/地域ポルトガル
CityPorto
Period6/20/136/22/13

All Science Journal Classification (ASJC) codes

  • 生体医工学
  • 健康情報学

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