DocumentCode
2510105
Title
How to Reconstruct 3D Coronary Arterial Tree from Two Arbitrary Views
Author
Li, Qin ; Shui, Haomiao ; Hu, Xiaoming ; Liu, Yue ; Wang, Yongtian
Author_Institution
Dept. of Biomed. Eng., Beijing Inst. of Technol., Beijing, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the ldquogold standardrdquo 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
angiocardiography; blood flow measurement; cardiovascular system; diagnostic radiography; diseases; feature extraction; image matching; image reconstruction; image segmentation; medical image processing; 3D coronary arterial tree reconstruction; X-ray imaging; arbitrary views; arterial tree topology; contrast agent; coronary angiography; feature-point recognition; gold standard; heart disease; hemodynamic measurement; myocardial infarction; real-time display; stenosis; surgery; three-dimensional representation; vessel diameter measurement; vessel segmentation; vessel skeleton matching; Angiography; Cardiac disease; Coronary arteriosclerosis; Hemodynamics; Humans; Image reconstruction; Image segmentation; Myocardium; Skeleton; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162907
Filename
5162907
Link To Document