Automated knowledge-based detection of nonobstructive and obstructive arterial lesions from coronary CT angiography

Medical Physics

Volumn 40, Issue 4, 2013, Pages

  Kang, Dongwoo ^a   Slomka, Piotr J ^b   Nakazato, Ryo ^b   Arsanjani, Reza ^b   Cheng, Victor Y ^b   Min, James K ^b   Li, Debiao ^b   Berman, Daniel S ^b   Jay Kuo, C C ^a   Dey, Damini ^b  

^a University of Southern California   (United States)

^b CEDARS SINAI MEDICAL CENTER   (United States)

Author keywords

centerline extraction; coronary CT angiography; lesion detection; lumen segmentation; stenosis quantification

Indexed keywords

ANGIOGRAPHY; AUTOMATION; EXTRACTION; HEART; KNOWLEDGE BASED SYSTEMS; LOCATION;

CENTERLINE EXTRACTION; CORONARY CT ANGIOGRAPHIES; LESION DETECTION; LUMEN SEGMENTATIONS; STENOSIS QUANTIFICATION;

COMPUTERIZED TOMOGRAPHY;

ADULT; ALGORITHM; ANGIOCARDIOGRAPHY; ARTERY LESION; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONSENSUS; CORONARY ARTERY; FEMALE; HUMAN; MALE; PRACTICE GUIDELINE; PRIORITY JOURNAL; READING; STENOSIS; VALIDATION STUDY; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CORONARY ARTERY OBSTRUCTION; IMAGE QUALITY; METHODOLOGY; MIDDLE AGED; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CORONARY ANGIOGRAPHY; CORONARY STENOSIS; FEMALE; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84876174935     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4794480     Document Type: Article

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