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 - http://www.scopus.com/inward/record.url?scp=72749123615&partnerID=8YFLogxK
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 -
