VR display of human brain vessel network extracted from time-of-flight MRI

Hao Chen; Xinpei Wang; Jichang Zhang; Pengfei Xu; Zhen Nan; Chengbo Wang

doi:10.1049/cp.2018.1727

VR display of human brain vessel network extracted from time-of-flight MRI

Hao Chen
, Xinpei Wang
, Jichang Zhang
, Pengfei Xu
, Zhen Nan
, Chengbo Wang

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

According to the report from the World Health Organization (WHO), vascular diseases became the most life-threatening diseases by 2015. Time of flight angiography (TOF) is a noncontrast MRI technique to visualize blood vessel in the human vascular system. However, diagnosis of the complex vascular network structures was difficult based on traditional (2D) display method owing to the complexity and variability of vascular network structures. In this study, we investigated the feasibility of displaying three-dimensional (3D) vessel network in virtual reality (VR) environment, using 3D TOF data. Also, the potential value of its clinical application was evaluated. The experiment results, 3D VR videos, showed that the intervention of VR technology is feasible for the 3D image display of cerebrovascular network.

Original language	English
Title of host publication	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018
Publisher	Institution of Engineering and Technology
Edition	CP754
ISBN (Print)	9781785617911, 9781839530838
DOIs	https://doi.org/10.1049/cp.2018.1727
Publication status	Published - 2018
Event	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018 - Ningbo, China Duration: 4 Nov 2018 → …

Publication series

Name	IET Conference Publications
Number	CP754
Volume	2018

Conference

Conference	IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018
Country/Territory	China
City	Ningbo
Period	4/11/18 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Free Keywords

3D RECONSTRUCTION
BRAIN
TOF MRI
VESSEL NETWORK
VIRTUAL REALITY DISPLAY

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2018.1727

Cite this

Chen, H., Wang, X., Zhang, J., Xu, P., Nan, Z., & Wang, C. (2018). VR display of human brain vessel network extracted from time-of-flight MRI. In IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018 (CP754 ed.). (IET Conference Publications; Vol. 2018, No. CP754). Institution of Engineering and Technology. https://doi.org/10.1049/cp.2018.1727

@inproceedings{053f979dbae441469113eb4f1880cbfb,

title = "VR display of human brain vessel network extracted from time-of-flight MRI",

abstract = "According to the report from the World Health Organization (WHO), vascular diseases became the most life-threatening diseases by 2015. Time of flight angiography (TOF) is a noncontrast MRI technique to visualize blood vessel in the human vascular system. However, diagnosis of the complex vascular network structures was difficult based on traditional (2D) display method owing to the complexity and variability of vascular network structures. In this study, we investigated the feasibility of displaying three-dimensional (3D) vessel network in virtual reality (VR) environment, using 3D TOF data. Also, the potential value of its clinical application was evaluated. The experiment results, 3D VR videos, showed that the intervention of VR technology is feasible for the 3D image display of cerebrovascular network.",

keywords = "3D RECONSTRUCTION, BRAIN, TOF MRI, VESSEL NETWORK, VIRTUAL REALITY DISPLAY",

author = "Hao Chen and Xinpei Wang and Jichang Zhang and Pengfei Xu and Zhen Nan and Chengbo Wang",

note = "Publisher Copyright: {\textcopyright} 2018 Institution of Engineering and Technology. All rights reserved.; IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018 ; Conference date: 04-11-2018",

year = "2018",

doi = "10.1049/cp.2018.1727",

language = "English",

isbn = "9781785617911",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

number = "CP754",

booktitle = "IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018",

address = "United Kingdom",

edition = "CP754",

}

Chen, H, Wang, X, Zhang, J, Xu, P, Nan, Z & Wang, C 2018, VR display of human brain vessel network extracted from time-of-flight MRI. in IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018. CP754 edn, IET Conference Publications, no. CP754, vol. 2018, Institution of Engineering and Technology, IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018, Ningbo, China, 4/11/18. https://doi.org/10.1049/cp.2018.1727

VR display of human brain vessel network extracted from time-of-flight MRI. / Chen, Hao; Wang, Xinpei; Zhang, Jichang et al.
IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018. CP754. ed. Institution of Engineering and Technology, 2018. (IET Conference Publications; Vol. 2018, No. CP754).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - VR display of human brain vessel network extracted from time-of-flight MRI

AU - Chen, Hao

AU - Wang, Xinpei

AU - Zhang, Jichang

AU - Xu, Pengfei

AU - Nan, Zhen

AU - Wang, Chengbo

PY - 2018

Y1 - 2018

N2 - According to the report from the World Health Organization (WHO), vascular diseases became the most life-threatening diseases by 2015. Time of flight angiography (TOF) is a noncontrast MRI technique to visualize blood vessel in the human vascular system. However, diagnosis of the complex vascular network structures was difficult based on traditional (2D) display method owing to the complexity and variability of vascular network structures. In this study, we investigated the feasibility of displaying three-dimensional (3D) vessel network in virtual reality (VR) environment, using 3D TOF data. Also, the potential value of its clinical application was evaluated. The experiment results, 3D VR videos, showed that the intervention of VR technology is feasible for the 3D image display of cerebrovascular network.

AB - According to the report from the World Health Organization (WHO), vascular diseases became the most life-threatening diseases by 2015. Time of flight angiography (TOF) is a noncontrast MRI technique to visualize blood vessel in the human vascular system. However, diagnosis of the complex vascular network structures was difficult based on traditional (2D) display method owing to the complexity and variability of vascular network structures. In this study, we investigated the feasibility of displaying three-dimensional (3D) vessel network in virtual reality (VR) environment, using 3D TOF data. Also, the potential value of its clinical application was evaluated. The experiment results, 3D VR videos, showed that the intervention of VR technology is feasible for the 3D image display of cerebrovascular network.

KW - 3D RECONSTRUCTION

KW - BRAIN

KW - TOF MRI

KW - VESSEL NETWORK

KW - VIRTUAL REALITY DISPLAY

UR - https://www.scopus.com/pages/publications/85070512701

U2 - 10.1049/cp.2018.1727

DO - 10.1049/cp.2018.1727

M3 - Conference contribution

AN - SCOPUS:85070512701

SN - 9781785617911

SN - 9781839530838

T3 - IET Conference Publications

BT - IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

PB - Institution of Engineering and Technology

T2 - IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018, BRAIN 2018

Y2 - 4 November 2018

ER -

VR display of human brain vessel network extracted from time-of-flight MRI

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this