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Journal of Medical Signals and Sensors، جلد ۶، شماره ۳، صفحات ۱۵۰-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Extraction of the Best Frames in Coronary Angiograms for Diagnosis and Analysis |
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| چکیده انگلیسی مقاله |
X-ray coronary angiography has been a gold standard in the clinical diagnosis and interventional treatment of coronary arterialdiseases for decades. In angiography, a sequence of images is obtained, a few of which are suitable for physician inspection. Thispaper proposes an automatic algorithm for the extraction of one or more frames from an angiogram sequence, which is most suitablefor diagnosis and analysis by experts or processors. The algorithm consists of two stages: In the first stage, the background andillumination in the angiogram sequence are omitted. By analyzing the histogram of the sequence, a feature is attributed to eachframe. These features, determining the visibility of the vessel tree, are clustered by a fuzzy c-means method. In the second stage, thecardiac phase for each frame is specified. Using the results of both stages, the best frames in an angiogram sequence are obtained.To evaluate the proposed method, it has been tested on angiogram sequences from several patients. The results demonstrate theaccuracy of the method. The performance and speed of our method indicate its usefulness in clinical applications. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
مریم تقی زاده دهکردی | maryam taghizadeh dehkordi
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| نشانی اینترنتی |
http://www.jmss.mui.ac.ir/index.php/jmss/article/view/333 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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