Automatic vasculature identification in coronary angiograms by adaptive geometrical tracking

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Xiao, Ruoxiu ^a   Yang, Jian ^a   Goyal, Mahima ^b   Liu, Yue ^a   Wang, Yongtian ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b AMITY UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; X RAYS;

ANGIOGRAPHIC IMAGES; AUTOMATIC ALGORITHMS; AUTOMATIC INITIALIZATION; CORONARY ARTERIES; DIAMETER ESTIMATION; PERSPECTIVE PROJECTIONS; VASCULAR STRUCTURES; VASCULAR TRACKING;

IMAGE ENHANCEMENT;

ALGORITHM; ANGIOCARDIOGRAPHY; ARTICLE; BLOOD FLOW; COMPARATIVE STUDY; CORONARY ARTERY; EXTRACTION; GEOMETRY; QUANTITATIVE ANALYSIS; VASCULARIZATION; X RAY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; METHODOLOGY; STATISTICS; THREE DIMENSIONAL IMAGING; DIAGNOSTIC USE; PROCEDURES; STATISTICS AND NUMERICAL DATA;

CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ALGORITHMS; COMPUTER SIMULATION; CONTRAST MEDIA; CORONARY ANGIOGRAPHY; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84887488781     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/796342     Document Type: Article

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