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KMID : 1137820170380060295
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의공학회지
2017 Volume.38 No. 6 p.295 ~ p.301
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Comparison of Blooming Artifact Reduction Using Image Segmentation Method in CT Image
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Kim Jung-Hun
Park Ji-Eun
Park Yu-Jin
Ji In-Hee
Lee Jong-Min
Cho Jin-Ho
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Abstract
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In this study, We subtracted the calcification blooming artifact from MDCT images of coronary atherosclerosis patients and verified their accuracy and usefulness. We performed coronary artery calcification stenosis phantom and a program to subtract calcification blooming artifact by applying 8 different image segmentation method (Otsu, Sobel, Prewitt, Canny, DoG, Region Growing, Gaussian+K-mean clustering, Otsu+DoG). As a result, In the coronary artery calcification stenosis phantom with the lumen region 5 mm the calcification blooming artifact was subtracted in the application of the mixture of Gaussian filtering and K- Clustering algorithm, and the value was close to the actual calcification region. These results may help to accurately diagnose coronary artery calcification stenosis.
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KEYWORD
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Calcification, Blooming Artifact, Coronary artery, Sclerosis
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