Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data

Antoine Bossard, Yuki Sugano, Shinya Onogi, Toshikazu Kato, Nobuhiko Shigehara, Takashi Mochizuki, Kohji Masuda

Research output: Contribution to journalArticle

Abstract

Recently, we described a reconstruction method of the blood vessel network (BVN) by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include blood flow directions and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a much improved system, this time including blood flow directions and, importantly, assessing the reconstruction correctness by introducing an abstraction method for the BVN. Such a model is then analyzed through graph theory and error patterns for auto-correction of the reconstructed BVN. Data was acquired by a Philips xMATRIX iU22 3D-capable echography and a matrix array probe (X6-1). Flow directions were obtained by using colour Doppler information. Additionally, we conducted several validating experiments: first, we performed an in silico trial, involving a simulated three-dimensional vessel of realistic shape. Then, we proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations made of poly(vinyl alcohol) by grayscale lithography whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. Results show that our system successfully reconstructed the corresponding BVNs. ISCA

Original languageEnglish
Pages (from-to)203-210
Number of pages8
JournalInternational Journal of Computers and their Applications
Volume21
Issue number4
Publication statusPublished - Dec 1 2014

Fingerprint

Blood vessels
Ultrasonics
Blood vessel prostheses
Blood
Graph theory
Flow velocity
Lithography
Alcohols
Color
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Bossard, A., Sugano, Y., Onogi, S., Kato, T., Shigehara, N., Mochizuki, T., & Masuda, K. (2014). Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data. International Journal of Computers and their Applications, 21(4), 203-210.

Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data. / Bossard, Antoine; Sugano, Yuki; Onogi, Shinya; Kato, Toshikazu; Shigehara, Nobuhiko; Mochizuki, Takashi; Masuda, Kohji.

In: International Journal of Computers and their Applications, Vol. 21, No. 4, 01.12.2014, p. 203-210.

Research output: Contribution to journalArticle

Bossard, A, Sugano, Y, Onogi, S, Kato, T, Shigehara, N, Mochizuki, T & Masuda, K 2014, 'Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data', International Journal of Computers and their Applications, vol. 21, no. 4, pp. 203-210.
Bossard, Antoine ; Sugano, Yuki ; Onogi, Shinya ; Kato, Toshikazu ; Shigehara, Nobuhiko ; Mochizuki, Takashi ; Masuda, Kohji. / Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data. In: International Journal of Computers and their Applications. 2014 ; Vol. 21, No. 4. pp. 203-210.
@article{605d8cd9f6c74c4d8b26223c2b841fdf,
title = "Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data",
abstract = "Recently, we described a reconstruction method of the blood vessel network (BVN) by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include blood flow directions and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a much improved system, this time including blood flow directions and, importantly, assessing the reconstruction correctness by introducing an abstraction method for the BVN. Such a model is then analyzed through graph theory and error patterns for auto-correction of the reconstructed BVN. Data was acquired by a Philips xMATRIX iU22 3D-capable echography and a matrix array probe (X6-1). Flow directions were obtained by using colour Doppler information. Additionally, we conducted several validating experiments: first, we performed an in silico trial, involving a simulated three-dimensional vessel of realistic shape. Then, we proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations made of poly(vinyl alcohol) by grayscale lithography whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. Results show that our system successfully reconstructed the corresponding BVNs. ISCA",
author = "Antoine Bossard and Yuki Sugano and Shinya Onogi and Toshikazu Kato and Nobuhiko Shigehara and Takashi Mochizuki and Kohji Masuda",
year = "2014",
month = "12",
day = "1",
language = "English",
volume = "21",
pages = "203--210",
journal = "International Journal of Computers and their Applications",
issn = "1076-5204",
publisher = "International Society for Computers and Their Applications (ISCA)",
number = "4",

}

TY - JOUR

T1 - Reconstruction and auto-correction of artificial capillary with flow directions from ultrasound volume data

AU - Bossard, Antoine

AU - Sugano, Yuki

AU - Onogi, Shinya

AU - Kato, Toshikazu

AU - Shigehara, Nobuhiko

AU - Mochizuki, Takashi

AU - Masuda, Kohji

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Recently, we described a reconstruction method of the blood vessel network (BVN) by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include blood flow directions and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a much improved system, this time including blood flow directions and, importantly, assessing the reconstruction correctness by introducing an abstraction method for the BVN. Such a model is then analyzed through graph theory and error patterns for auto-correction of the reconstructed BVN. Data was acquired by a Philips xMATRIX iU22 3D-capable echography and a matrix array probe (X6-1). Flow directions were obtained by using colour Doppler information. Additionally, we conducted several validating experiments: first, we performed an in silico trial, involving a simulated three-dimensional vessel of realistic shape. Then, we proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations made of poly(vinyl alcohol) by grayscale lithography whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. Results show that our system successfully reconstructed the corresponding BVNs. ISCA

AB - Recently, we described a reconstruction method of the blood vessel network (BVN) by 3D thinning to detect vessels bifurcations, which is applied to the control of microbubbles in vivo. However, that method did not include blood flow directions and was only verified on a very simply shaped artificial blood vessel. In this paper we propose a much improved system, this time including blood flow directions and, importantly, assessing the reconstruction correctness by introducing an abstraction method for the BVN. Such a model is then analyzed through graph theory and error patterns for auto-correction of the reconstructed BVN. Data was acquired by a Philips xMATRIX iU22 3D-capable echography and a matrix array probe (X6-1). Flow directions were obtained by using colour Doppler information. Additionally, we conducted several validating experiments: first, we performed an in silico trial, involving a simulated three-dimensional vessel of realistic shape. Then, we proceeded in vitro by acquiring volume data from an artificial capillary with multi-bifurcations made of poly(vinyl alcohol) by grayscale lithography whose diameter ranges from 0.5 to 2.0mm and with different flow velocities. Results show that our system successfully reconstructed the corresponding BVNs. ISCA

UR - http://www.scopus.com/inward/record.url?scp=84922369727&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84922369727&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84922369727

VL - 21

SP - 203

EP - 210

JO - International Journal of Computers and their Applications

JF - International Journal of Computers and their Applications

SN - 1076-5204

IS - 4

ER -