Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode

Kohji Masuda, Tomoki Yamashita, Takuya Katai, Takashi Mochizuki, Shinya Onogi, Yoshihiro Edamoto

研究成果: 著書/レポートタイプへの貢献会議での発言

2 引用 (Scopus)

抄録

We have previously proposed the use of acoustic microbubble delivery in blood vessels to improve the efficacy of acoustic targeted drug therapy. The technical requirement is the detailed visualization of the blood vessel network for navigation around a target such as a tumor. For this purpose, we have used three-dimensional (3D) Doppler-mode volumes to obtain the blood vessel structure. However, since reconstructed Doppler-mode volumes showed expansion and deficiency problems, we propose a new blood vessel network reconstruction method by fusing B-mode and Doppler-mode volumes, which were acquired simultaneously in the same coordinate space. First, we configured a spiral tube to quantitatively evaluate the degrees of expansion and deficiency in both volumes. From the analysis of the results, we established the weight coefficients varied with the angle between the tangent vector of the centerline in the volume and the direction of ultrasound propagation to correct the shape of each volume. Finally, using these coefficients, we fused the corrected Band D-volumes to reconstruct the shape of the spiral tube and human liver vessels. The results showed clear reproduction and reliable construction. We confirmed that the proposed method is effective for reconstructing human blood vessels.

元の言語英語
ホスト出版物のタイトル2017 IEEE International Ultrasonics Symposium, IUS 2017
出版者IEEE Computer Society
ISBN(電子版)9781538633830
DOI
出版物ステータス出版済み - 10 31 2017
イベント2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, 米国
継続期間: 9 6 20179 9 2017

その他

その他2017 IEEE International Ultrasonics Symposium, IUS 2017
米国
Washington
期間9/6/179/9/17

Fingerprint

blood vessels
fusion
tubes
expansion
acoustics
chemotherapy
coefficients
navigation
tangents
liver
vessels
delivery
tumors
requirements
propagation

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

これを引用

Masuda, K., Yamashita, T., Katai, T., Mochizuki, T., Onogi, S., & Edamoto, Y. (2017). Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode. : 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092785] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092785

Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode. / Masuda, Kohji; Yamashita, Tomoki; Katai, Takuya; Mochizuki, Takashi; Onogi, Shinya; Edamoto, Yoshihiro.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092785.

研究成果: 著書/レポートタイプへの貢献会議での発言

Masuda, K, Yamashita, T, Katai, T, Mochizuki, T, Onogi, S & Edamoto, Y 2017, Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode. : 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092785, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, 米国, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8092785
Masuda K, Yamashita T, Katai T, Mochizuki T, Onogi S, Edamoto Y. Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode. : 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8092785 https://doi.org/10.1109/ULTSYM.2017.8092785
Masuda, Kohji ; Yamashita, Tomoki ; Katai, Takuya ; Mochizuki, Takashi ; Onogi, Shinya ; Edamoto, Yoshihiro. / Reconstruction of three-dimensional blood vessel network using multiple ultrasound volumes constructed by weighted fusion between B-mode and Doppler-mode. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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