How to reconstruct 3D coronary arterial tree from two arbitrary views

Li Qin; Shui Haomiao; Hu Xiaoming; Liu Yue; Wang Yongtian

doi:10.1109/ICBBE.2009.5162907

How to reconstruct 3D coronary arterial tree from two arbitrary views

Li Qin^*
, Shui Haomiao
, Hu Xiaoming
, Liu Yue
, Wang Yongtian

^*Corresponding author for this work

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the "gold standard" for the assessment of coronary artery disease. But sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiogram. Three-dimensional (3D) representation of coronary arterial tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. So, clinician can reduce the radiation dose, imaging scan time and duration of human expose to contrast agent during acquisition of angiograms. In this paper, the algorithm for 3D reconstruction of arterial tree from two arbitrary views is presented. The program can be divided into five major steps: vessel segmentation, feature-points recognition, vessel skeleton matching, vessel diameter measurement, and three-dimensional reconstruction. By the help of progress of computer, the algorithm of 3D reconstruction can be calculated faster and faster. It has been possible to realize the real-time display during the surgery.

Original language	English
Title of host publication	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs	https://doi.org/10.1109/ICBBE.2009.5162907
Publication status	Published - 2009
Event	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China Duration: 11 Jun 2009 → 13 Jun 2009

Publication series

Name	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Conference

Conference	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Country/Territory	China
City	Beijing
Period	11/06/09 → 13/06/09

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Angiogram
Coronary arterial tree
Feature-points recognition
Three-dimensional reconstruction
Vessel segmentation
Vessel skeleton matching

Access to Document

10.1109/ICBBE.2009.5162907

Cite this

Qin, L., Haomiao, S., Xiaoming, H., Yue, L., & Yongtian, W. (2009). How to reconstruct 3D coronary arterial tree from two arbitrary views. In 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 Article 5162907 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009). https://doi.org/10.1109/ICBBE.2009.5162907

@inproceedings{146d8749ba1d45b8aca02309e24cf21b,

title = "How to reconstruct 3D coronary arterial tree from two arbitrary views",

abstract = "Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the {"}gold standard{"} for the assessment of coronary artery disease. But sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiogram. Three-dimensional (3D) representation of coronary arterial tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. So, clinician can reduce the radiation dose, imaging scan time and duration of human expose to contrast agent during acquisition of angiograms. In this paper, the algorithm for 3D reconstruction of arterial tree from two arbitrary views is presented. The program can be divided into five major steps: vessel segmentation, feature-points recognition, vessel skeleton matching, vessel diameter measurement, and three-dimensional reconstruction. By the help of progress of computer, the algorithm of 3D reconstruction can be calculated faster and faster. It has been possible to realize the real-time display during the surgery.",

keywords = "Angiogram, Coronary arterial tree, Feature-points recognition, Three-dimensional reconstruction, Vessel segmentation, Vessel skeleton matching",

author = "Li Qin and Shui Haomiao and Hu Xiaoming and Liu Yue and Wang Yongtian",

year = "2009",

doi = "10.1109/ICBBE.2009.5162907",

language = "English",

isbn = "9781424429028",

series = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

booktitle = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

note = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 ; Conference date: 11-06-2009 Through 13-06-2009",

}

Qin, L, Haomiao, S, Xiaoming, H, Yue, L & Yongtian, W 2009, How to reconstruct 3D coronary arterial tree from two arbitrary views. in 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009., 5162907, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, China, 11/06/09. https://doi.org/10.1109/ICBBE.2009.5162907

How to reconstruct 3D coronary arterial tree from two arbitrary views. / Qin, Li; Haomiao, Shui; Xiaoming, Hu et al.
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 2009. 5162907 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009).

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

TY - GEN

T1 - How to reconstruct 3D coronary arterial tree from two arbitrary views

AU - Qin, Li

AU - Haomiao, Shui

AU - Xiaoming, Hu

AU - Yue, Liu

AU - Yongtian, Wang

PY - 2009

Y1 - 2009

N2 - Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the "gold standard" for the assessment of coronary artery disease. But sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiogram. Three-dimensional (3D) representation of coronary arterial tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. So, clinician can reduce the radiation dose, imaging scan time and duration of human expose to contrast agent during acquisition of angiograms. In this paper, the algorithm for 3D reconstruction of arterial tree from two arbitrary views is presented. The program can be divided into five major steps: vessel segmentation, feature-points recognition, vessel skeleton matching, vessel diameter measurement, and three-dimensional reconstruction. By the help of progress of computer, the algorithm of 3D reconstruction can be calculated faster and faster. It has been possible to realize the real-time display during the surgery.

AB - Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the "gold standard" for the assessment of coronary artery disease. But sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiogram. Three-dimensional (3D) representation of coronary arterial tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. So, clinician can reduce the radiation dose, imaging scan time and duration of human expose to contrast agent during acquisition of angiograms. In this paper, the algorithm for 3D reconstruction of arterial tree from two arbitrary views is presented. The program can be divided into five major steps: vessel segmentation, feature-points recognition, vessel skeleton matching, vessel diameter measurement, and three-dimensional reconstruction. By the help of progress of computer, the algorithm of 3D reconstruction can be calculated faster and faster. It has been possible to realize the real-time display during the surgery.

KW - Angiogram

KW - Coronary arterial tree

KW - Feature-points recognition

KW - Three-dimensional reconstruction

KW - Vessel segmentation

KW - Vessel skeleton matching

UR - https://www.scopus.com/pages/publications/72749123615

U2 - 10.1109/ICBBE.2009.5162907

DO - 10.1109/ICBBE.2009.5162907

M3 - Conference contribution

AN - SCOPUS:72749123615

SN - 9781424429028

T3 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Y2 - 11 June 2009 through 13 June 2009

ER -

How to reconstruct 3D coronary arterial tree from two arbitrary views

Abstract

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UN SDGs

Keywords

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