Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols
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چکیده
منابع مشابه
Automatic Coronary Calcium Scoring Using Native and Contrasted CT Acquisitions
The evaluation of coronary calcium is a standard procedure in clinical workflows for the diagnosis of patients presenting with suspected coronary artery disease. Based on a native cardiac CT scan, the coronary calcium present in each of the three main coronary arteries is determined. With most clinically available tools, the physician has to manually assign calcium clusters (voxels above 130HU)...
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The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular events. Non-contrast enhanced cardiac CT is considered a reference for quantification of CAC. Recently, it has been shown that CAC may be quantified in cardiac CT angiography (CCTA). We present a pattern recognition method that automatically identifies and quantifies CAC in CCTA. The study ...
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Cardiac computed tomography (CT) for Calcium Scoring uses special x-ray equipment to examine the coronary arteries. The exam can determine your risk for heart disease. Cardiovascular disease is the leading cause of death in both men and women in America, but it is largely preventable. If detected early, it can be stopped or reversed. Cardiac screenings are of particular importance to patients w...
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ژورنال
عنوان ژورنال: Radiology
سال: 2020
ISSN: 0033-8419,1527-1315
DOI: 10.1148/radiol.2020191621