Coronary vessel wall evaluation by magnetic resonance imaging in the multi-ethnic study of atherosclerosis: Determinants of image quality

Journal of Computer Assisted Tomography

Volumn 33, Issue 1, 2009, Pages 1-7

  Malayeri, Ashkan A ^a   MacEdo, Robson ^a   Li, Debiao ^b   Chen, Shaoguang ^a   Bahrami, Hossein ^a   Lai, Shenghan ^a   Lima, João A C ^a   Bluemke, David A ^a,c  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c JOHNS HOPKINS HOSPITAL   (United States)

Author keywords

Cardiac; Coronary; Image quality; Magnetic resonance imaging; MRI

Indexed keywords

ANGIOGRAPHY; BLOOD; BLOOD VESSELS; CALCIUM; DISEASES; HEART; IMAGE ENHANCEMENT; IMAGE QUALITY; MAGNETISM; PHYSIOLOGICAL MODELS; QUALITY CONTROL; RESONANCE; SIGNAL TO NOISE RATIO;

CALCIUM SCORE; CARDIAC; CORONARY; CORONARY ARTERIES; CORONARY VESSEL; FREE BREATHING; HEART-RATE; REST PERIODS; VESSEL WALLS; WALL THICKNESS;

MAGNETIC RESONANCE IMAGING;

CALCIUM;

ADULT; AGE DISTRIBUTION; AGED; ARTERIAL WALL THICKNESS; ARTERY WALL; ARTICLE; ATHEROSCLEROSIS; BLOOD VESSEL DIAMETER; BODY MASS; BREATHING; CLINICAL EVALUATION; CONTROLLED STUDY; ELECTROCARDIOGRAM; FEMALE; HEART RATE; HUMAN; IMAGE QUALITY; LEFT ANTERIOR DESCENDING CORONARY ARTERY; LEFT CORONARY ARTERY; MAGNETIC RESONANCE ANGIOGRAPHY; MAJOR CLINICAL STUDY; MALE; MOTION; PRIORITY JOURNAL; RADIOCARDIOGRAPHY; RADIOLOGICAL PARAMETERS; RIGHT CORONARY ARTERY; SCORING SYSTEM; SEX DIFFERENCE; SIGNAL NOISE RATIO; ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; CORONARY BLOOD VESSEL; ETHNOLOGY; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; UNITED STATES;

AGED; AGED, 80 AND OVER; ALGORITHMS; CORONARY ARTERY DISEASE; CORONARY VESSELS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MARYLAND; MIDDLE AGED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 62149114871     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/RCT.0b013e3181648606     Document Type: Article

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