Digital Subtraction Angiography originated in1980′s as a medical imaging technology.The technique of DSA, an important part of Digital Radiography, has been applied on a largescale to the clinical practice across the world. However, artifacts are produced clinically in thesubtraction images due to patients’ various unconscious motion. In this paper, a vesselenhancement algorithm is proposed for
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The cerebrovascular disease is very common in our lives, which is frequently occurred, and causes much death every year. The Digital Subtraction Angiography is widely used in the treatment of the cerebrovascular disease and the interventional therapeutic procedures of intravascular at a clinic. However, the traditional DSA imaging technique leads to vessels overlap, many efforts
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Digital Subtraction Angiography (DSA) technology is one of the hottest areas of modern medicine image research, However, The image edge is the essential feature of image, Edge detection is the foundation of image processing. Because of each kind of noise from DSA image, Moreover, The detail of blood vessel easy to lose and the signal-to-noise
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X-ray photography defect detection is a widely used detection method in the industry application, with its advantage of straight, reliability, high sensitivity and distinguishability. With the detection result, we can ensure the defect type> positon and size to judge whether the workpiece is qualified. Generally, the X-ray film is judged by the experience specialists under
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